GNN-Communication-Networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

If you find this repository helpful, you may consider cite our relevant work:

Jiang W. Graph-based Deep Learning for Communication Networks: A Survey[J]. Computer Communications, 2022, 185:40-54. Link
- For the surveyed studies in different scenarios, you may check survey.md

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Other Surveys

He S, Xiong S, Ou Y, et al. An overview on the application of graph neural networks in wireless networks[J]. IEEE Open Journal of the Communications Society, 2021. Link
Suárez-Varela J, Almasan P, Ferriol-Galmés M, et al. Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities[J]. IEEE Network, 2022. Link
Tam P, Song I, Kang S, et al. Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications[J]. Electronics, 2022, 11(20): 3371. Link
Ivanov A, Tonchev K, Poulkov V, et al. Graph-Based Resource Allocation for Integrated Space and Terrestrial Communications[J]. Sensors, 2022, 22(15): 5778. Link
Lee M, Yu G, Dai H, et al. Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions[J]. IEEE Wireless Communications, 2022, 29(5): 12-19. Link
Li Y, Xie S, Wan Z, et al. Graph-powered learning methods in the Internet of Things: A survey[J]. Machine Learning with Applications, 2023, 11: 100441. Link
Dong G, Tang M, Wang Z, et al. Graph neural networks in IoT: A survey[J]. ACM Transactions on Sensor Networks, 2023, 19(2): 1-50. Link GNN4IoT Repository

Competition

Suárez-Varela J, Ferriol-Galmés M, López A, et al. The graph neural networking challenge: a worldwide competition for education in AI/ML for networks[J]. ACM SIGCOMM Computer Communication Review, 2021, 51(3): 9-16. Link
Ferriol-Galmés M, Suárez-Varela J, Rusek K, et al. Scaling Graph-based Deep Learning models to larger networks[J]. arXiv preprint arXiv:2110.01261, 2021. Link

Tool

Pujol-Perich D, Suárez-Varela J, Ferriol-Galmés M, et al. IGNNITION: fast prototyping of graph neural networks for communication networks[M]//Proceedings of the SIGCOMM'21 Poster and Demo Sessions. 2021: 71-73. Link
Pujol-Perich D, Suárez-Varela J, Ferriol M, et al. IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems[J]. IEEE Network, 2021. Link Code

Literature

The list would be updated monthly.

2024

Journal

Chen Z, Ge W, Fei H, et al. A lightweight graph neural networks based enhanced separated detection scheme for downlink MIMO-SCMA systems[J]. IEICE Transactions on Communications, 2024. Link
Alam S, Diaz Rivera J J, Sarwar M M S, et al. Assuring Efficient Path Selection in an Intent-Based Networking System: A Graph Neural Networks and Deep Reinforcement Learning Approach[J]. Journal of Network and Systems Management, 2024, 32(2): 41. Link
Narayanan S, Archana K S. Auto metric graph neural network optimized with woodpecker mating algorithm for detecting network layer attacks in mobile ad hoc networks[J]. Smart Science, 2024: 1-14. Link
Guo Z, Li F, Shen J, et al. ConfigReco: Network configuration recommendation with graph neural networks[J]. IEEE Network, 2024. Link
Han X, Xu G, Zhang M, et al. DE-GNN: Dual embedding with graph neural network for fine-grained encrypted traffic classification[J]. Computer Networks, 2024: 110372. Link
Yeh T J, Tsai W C, Chen C W, et al. Enhanced-GNN with Angular CSI for Beamforming Design in IRS-Assisted mmWave Communication Systems[J]. IEEE Communications Letters, 2024. Link
Liu C, Aggarwal V, Lan T, et al. FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design[J]. IEEE/ACM Transactions on Networking, 2024. Link Code
Luu V C, Hong J P. GNN-Based Meta-Learning Approach for Adaptive Power Control in Dynamic D2D Communications[J]. IEEE Transactions on Vehicular Technology, 2024. Link
He C, Li Y, Lu Y, et al. ICNet: GNN-Enabled Beamforming for MISO Interference Channels with Statistical CSI[J]. IEEE Transactions on Vehicular Technology, 2024. Link
Zhao B, Wu J, Ma Y, et al. Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs[J]. IEEE Open Journal of the Communications Society, 2024. Link
Liu S, Guo J, Yang C. Multidimensional graph neural networks for wireless communications[J]. IEEE Transactions on Wireless Communications, 2024. Link Data
Du A, Jia J, Chen J, et al. Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach[J]. Computer Networks, 2024, 244: 110339. Link
Dhamala B K, Dawadi B R, Manzoni P, et al. Performance Evaluation of Graph Neural Network-Based RouteNet Model with Attention Mechanism[J]. Future Internet, 2024, 16(4): 116. Link
Liu M, Xu H, Sheng Q Z, et al. QoSGNN: Boosting QoS Prediction Performance with Graph Neural Networks[J]. IEEE Transactions on Services Computing, 2024. Link
Sun Q, He Y, Petrosian O. Resource allocation in heterogeneous network with node and edge enhanced graph attention network[J]. Applied Intelligence, 2024: 1-13. Link
Huang S, Wei Y, Peng L, et al. xNet: Modeling Network Performance With Graph Neural Networks[J]. IEEE/ACM Transactions on Networking, 2024. Link
Tam P, Ros S, Song I, et al. A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches[J]. Electronics, 2024, 13(5): 994. Link
Li Y, Lu Y, Ai B, et al. GNN-Enabled Max-Min Fair Beamforming[J]. IEEE Transactions on Vehicular Technology, 2024. Link
Xia W, He D, Yu L. Locational detection of false data injection attacks in smart grids: A graph convolutional attention network approach[J]. IEEE Internet of Things Journal, 2024. Link
Kannamma R, Umadevi K S. An efficient frame preemption algorithm for time-sensitive networks using enhanced graph convolutional network with particle swarm optimization[J]. Measurement: Sensors, 2024, 31: 100964. Link
Huang S, Zhang H, Wang X, et al. Fine-Grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks[J]. IEEE Transactions on Mobile Computing, 2024. Link
Zhao J, Tang T, Bu B, et al. Graph neural network‐based attack prediction for communication‐based train control systems[J]. CAAI Transactions on Intelligence Technology, 2024. Link
Peng Y, Guo J, Yang C. Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?[J]. IEEE Transactions on Machine Learning in Communications and Networking, 2024. Link
Zhao L, He C, Zhu X. A Fault Diagnosis Method for 5G Cellular Networks Based on Knowledge and Data Fusion[J]. Sensors, 2024, 24(2): 401. Link
Ngo D T, Aouedi O, Piamrat K, et al. Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities[J]. Future Internet, 2023, 15(12): 377. Link
Chen H, Chen P, Wang B, et al. Graph neural network based robust anomaly detection at service level in SDN driven microservice system[J]. Computer Networks, 2024, 239: 110135. Link
Lyu S, Peng L, Chang S Y. Investigating Large-Scale RIS-Assisted Wireless Communications Using GNN[J]. IEEE Transactions on Consumer Electronics, 2024. Link
He J, Cheng N, Yin Z, et al. Load-Aware Network Resource Orchestration in LEO Satellite Network: A GAT-Based Approach[J]. IEEE Internet of Things Journal, 2024. Link
Zhong L, Chen Z, Cheng H, et al. Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-assisted MEC Systems[J]. IEEE Internet of Things Journal, 2024. Link

Conference

Das S, NaderiAlizadeh N, Ribeiro A. State-Augmented Information Routing In Communication Systems With Graph Neural Networks[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 9181-9185. Link
Tao T, Hou J, Nayak A. A GNN-DRL-based Collaborative Edge Computing Strategy for Partial Offloading[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 3717-3722. Link
Hou J, Nayak A. A Graph-Based Spatial-Temporal Deep Reinforcement Learning Model for Edge Caching[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 6456-6461. Link
Hou J, Tao T, Lu H, et al. An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 401-406. Link
Li W, Liao M, Wang X, et al. Applying Multiple-Correlations of Network to Cell Traffic Forecasting[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 7405-7410. Link
Yang N, Wang S, Chen M, et al. Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 164-169. Link
Zhang L, Cheng H, Peng S, et al. Flowlet-Level Routing Optimization with GNN-Based Multi-Agent Deep Reinforcement Learning[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 5214-5219. Link
Langari A S, Yeganeh L, Nguyen K K. Grothendieck Graph Neural Network (GGNN): A Path-Based Framework For Network Modelling[C]//GLOBECOM 2023-2023 IEEE Global Communications Conference. IEEE, 2023: 6548-6553. Link
Shan L, Hu Y, Shan W, et al. MAGLN: Multi-Attention Graph Learning Network for Channel Estimation in Multi-User SIMO[C]//2023 28th Asia Pacific Conference on Communications (APCC). IEEE, 2023: 1-6. Link

Preprint

Xu R, Wu G, Wang W, et al. Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network[J]. arXiv preprint arXiv:2403.01501, 2024. Link Code
Zacharopoulos K, Koutroumpas G, Arapakis I, et al. LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge[J]. arXiv preprint arXiv:2403.18810, 2024. Link
Shokrnezhad M, Taleb T. ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G[J]. arXiv preprint arXiv:2402.06931, 2024. Link
Weil J, Bao Z, Abboud O, et al. Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing[J]. arXiv preprint arXiv:2402.05027, 2024. Link Code
Van Chien T, Le H A, Tung T H, et al. Joint Power Allocation and User Scheduling in Integrated Satellite-Terrestrial Cell-Free Massive MIMO IoT Systems[J]. arXiv preprint arXiv:2401.03754, 2024. Link
Li H, Li P, Assis K D, et al. NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL[J]. arXiv preprint arXiv:2401.06722, 2024. Link Code

2023

Journal

Bellili A, Kara N. A graphical deep learning technique-based VNF dependencies for multi resource requirements prediction in virtualized environments[J]. Computing, 2023: 1-25. Link
Zhang X, Guo L, Ben C, et al. A-GCRNN: Attention graph convolution recurrent neural network for multi-band spectrum prediction[J]. IEEE Transactions on Vehicular Technology, 2023. Link Code
Guo K, Chen J, Dong P, et al. DTFL: A Digital Twin-assisted Graph Neural Network Approach for Service Function Chains Failure Localization[J]. IEEE Transactions on Cloud Computing, 2023. Link Data
Li B, Yang L L, Maunder R G, et al. Heterogeneous graph neural network for power allocation in multicarrier-division duplex cell-free massive MIMO systems[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
Gharib A, Ibnkahla M. User Security Oriented Information-Centric IoT Nodes Clustering With Graph Convolution Networks[J]. IEEE Internet of Things Journal, 2023. Link
Zeng L, Chen X, Huang P, et al. Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services[J]. IEEE/ACM Transactions on Networking, 2023. Link
Pamuklu T, Syed A, Kennedy W S, et al. Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture[J]. IEEE Networking Letters, 2023. Link
Lee M, Yu G, Dai H. Privacy-preserving decentralized inference with graph neural networks in wireless networks[J]. IEEE Transactions on Wireless Communications, 2023. Link
Wu Q, Ng B K, Lam C T, et al. Shared Graph Neural Network for Channel Decoding[J]. Applied Sciences, 2023, 13(23): 12657. Link
Tang D, Zhang Q. UAV 5G: enabled wireless communications using enhanced deep learning for edge devices[J]. Wireless Networks, 2023: 1-14. Link
Huang Y, Yang D, Feng B, et al. A GNN-Enabled Multipath Routing Algorithm for Spatial-Temporal Varying LEO Satellite Networks[J]. IEEE Transactions on Vehicular Technology, 2023. Link
Lv W, Yang P, Zheng T, et al. Graph Reinforcement Learning-based Dependency-Aware Microservice Deployment in Edge Computing[J]. IEEE Internet of Things Journal, 2023. Link
Deng L, Liu X Y, Zheng H, et al. Graph-Tensor Neural Networks for Network Traffic Data Imputation[J]. IEEE/ACM Transactions on Networking, 2023. Link Code
Janarthanan A, Srinivasan V. Multi‐objective cluster head‐based energy aware routing using optimized auto‐metric graph neural network for secured data aggregation in Wireless Sensor Network[J]. International Journal of Communication Systems, 2023. Link
Chen Z, Cheng G, Niu D, et al. WFF-EGNN: Encrypted Traffic Classification based on Weaved Flow Fragment via Ensemble Graph Neural Networks[J]. IEEE Transactions on Machine Learning in Communications and Networking, 2023. Link
Xiao D, Zhang J A, Liu X, et al. A Two-Stage GCN-Based Deep Reinforcement Learning Framework for SFC Embedding in Multi-Datacenter Networks[J]. IEEE Transactions on Network and Service Management, 2023. Link
Zhang P, Luo Z, Kumar N, et al. CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks[J]. Journal of Network and Computer Applications, 2023: 103736. Link
Chen Z, Zhu B, Zhou C. Container cluster placement in edge computing based on reinforcement learning incorporating graph convolutional networks scheme[J]. Digital Communications and Networks, 2023. Link
Yao Z, Xia S, Li Y, et al. Cooperative Task Offloading and Service Caching for Digital Twin Edge Networks: A Graph Attention Multi-Agent Reinforcement Learning Approach[J]. IEEE Journal on Selected Areas in Communications, 2023. Link
Helm M, Jaeger B, Carle G. Data-efficient GNN Models of Communication Networks using Beta-Distribution-based Sample Ranking[J]. ITU Journal on Future and Evolving Technologies, 2023, 4(3): 485–491. Link
Yu P, Zhang J, Fang H, et al. Digital Twin Driven Service Self-Healing with Graph Neural Networks in 6G Edge Networks[J]. IEEE Journal on Selected Areas in Communications, 2023. Link
Abdel-Basset M, Hawash H, Sallam K M, et al. Digital Twin for Optimization of Slicing-enabled Communication Networks: A Federated Graph Learning Approach[J]. IEEE Communications Magazine, 2023. Link
Alablani I, Alenazi M J F. DQN-GNN-Based User Association Approach for Wireless Networks[J]. Mathematics, 2023, 11(20): 4286. Link
Zhu R, Zhang W, Wang P, et al. Energy-Efficient Graph Reinforced vNFC Deployment in Elastic Optical Inter-DC Networks[J]. IEEE Transactions on Network Science and Engineering, 2023. Link
Deng W, Liu Y, Li M, et al. GNN-Aided User Association and Beam Selection for mmWave Integrated Heterogeneous Networks[J]. IEEE Wireless Communications Letters, 2023. Link
Guo H, Zhou Z, Zhao D, et al. EGNN: Energy-efficient anomaly detection for IoT multivariate time series data using graph neural network[J]. Future Generation Computer Systems, 2024, 151: 45-56. Link
Zhang H, Ma X, Liu X, et al. GNN-based Power Allocation and User Association in Digital Twin Network for the Terahertz Band[J]. IEEE Journal on Selected Areas in Communications, 2023. Link
Wei H, Zhao Y, Xu K. G-Routing: Graph Neural Networks-Based Flexible Online Routing[J]. IEEE Network, 2023, 37(4): 90-96. Link
Wang G, Cheng P, Chen Z, et al. Inverse Reinforcement Learning with Graph Neural Networks for Full-Dimensional Task Offloading in Edge Computing[J]. IEEE Transactions on Mobile Computing, 2023. Link
Xiao J, Yang L, Zhong F, et al. Robust Anomaly-based Insider Threat Detection using Graph Neural Network[J]. IEEE Transactions on Network and Service Management, 2023. Link
Liao Y, Hashemi S A, Yang H, et al. Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach[J]. IEEE Transactions on Communications, 2023. Link
Dhadhania A, Bhatia J, Mehta R, et al. Unleashing the power of SDN and GNN for network anomaly detection: State‐of‐the‐art, challenges, and future directions[J]. Security and Privacy, 2023, e337. Link
Hu Y, Min G, Li J, et al. VNF Migration in Digital Twin Network for NFV Environment[J]. Electronics, 2023, 12(20): 4324. Link
Li K, Zhou H, Tu Z, et al. AT-GCN: A DDoS attack path tracing system based on attack traceability knowledge base and GCN[J]. Computer Networks, 2023, 236: 110036. Link
Guo H, Zhou Z, Zhao D, et al. EGNN: Energy-efficient anomaly detection for IoT multivariate time series data using graph neural network[J]. Future Generation Computer Systems, 2024, 151: 45-56. Link
Zhou X, Zhang J, Wen C K, et al. Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers[J]. IEEE Transactions on Signal Processing, 2023, 71: 3458-3473. Link
Zhang A, Zhang B, Bi W, et al. Multi-UAV task allocation based on GCN-inspired binary stochastic L-BFGS[J]. Computer Communications, 2023. Link
He Y, Zhong X, Gan Y, et al. A DDPG Hybrid of Graph Attention Network and Action Branching for Multi-Scale End-Edge-Cloud Vehicular Orchestrated Task Offloading[J]. IEEE Wireless Communications, 2023. Link
Wang X, Fu Z, Li X. A Graph Deep Learning-based Fault Detection and Positioning Method for Internet Communication Networks[J]. IEEE Access, 2023. Link
Wang Z, Zhou Y, Zou Y, et al. A graph neural network learning approach to optimize ris-assisted federated learning[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
Wang S, Lei Y, Yang B, et al. A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination[J]. Engineering Applications of Artificial Intelligence, 2023, 126: 107071. Link
Xu J, Wang Y, Zhang B, et al. A Graph reinforcement learning based SDN routing path selection for optimizing long-term revenue[J]. Future Generation Computer Systems, 2023. Link
THEIN T T, SHIRAISHI Y, MORII M. Few-Shot Learning-Based Malicious IoT Traffic Detection with Prototypical Graph Neural Networks[J]. IEICE TRANSACTIONS on Information and Systems, 2023, 106(9): 1480-1489. Link
Ghasemzadeh P, Hempel M, Wang H, et al. GGCNN: An efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification[J]. IEEE Transactions On Wireless Communications, 2023. Link
Duan Y, Li C, Bai G, et al. MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning[J]. Journal of Cloud Computing, 2023, 12(1): 1-16. Link
Ferriol-Galmés M, Paillisse J, Suárez-Varela J, et al. RouteNet-Fermi: Network Modeling With Graph Neural Networks[J]. IEEE/ACM Transactions on Networking, 2023. Link
da Silva E S A, Pedrini H, Santos A. Applying Graph Neural Networks to Support Decision Making on Collective Intelligent Transportation Systems[J]. IEEE Transactions on Network and Service Management, 2023. Link
Han X. Combining Graph Neural Network with Deep Reinforcement Learning for Resource Allocation in Computing Force Networks[J]. Frontiers of Information Technology & Electronic Engineering, 2023. Link
Zhang X, Zhang S, Xiao L, et al. Graph Neural Network Assisted Efficient Signal Detection for OTFS Systems[J]. IEEE Communications Letters, 2023. Link
Ma Z, Zhang S, Li N, et al. GraphNEI: A GNN-based network entity identification method for IP geolocation[J]. Computer Networks, 2023: 109946. Link Code
Zhang Y, Xiu S, Cai Y, et al. Scheduling of graph neural network and Markov based UAV mobile edge computing networks[J]. Physical Communication, 2023: 102160. Link
Asheralieva A, Niyato D. Secure and efficient coded multi-access edge computing with generalized graph neural networks[J]. IEEE Transactions on Mobile Computing, 2023. Link
Guo Y, Wang Y, Khan F, et al. Traffic Management in IoT Backbone Networks Using GNN and MAB with SDN Orchestration[J]. Sensors, 2023, 23(16): 7091. Link
Chen G, Guo Y, Zeng Q, et al. A Novel Cellular Network Traffic Prediction Algorithm Based on Graph Convolution Neural Networks and Long Short-Term Memory through Extraction of Spatial-Temporal Characteristics[J]. Processes, 2023, 11(8): 2257. Link
Cai X, Sheng J, Wang Y, et al. A Novel Opportunistic Access Algorithm Based on GCN Network in Internet of Mobile Things[J]. IEEE Internet of Things Journal, 2023. Link
Chen J, Huang X, Wang Y, et al. ASTPPO: A proximal policy optimization algorithm based on the attention mechanism and spatio–temporal correlation for routing optimization in software-defined networking[J]. Peer-to-Peer Networking and Applications, 2023: 1-19. Link
Bhavanasi S S, Pappone L, Esposito F. Dealing with Changes: Resilient Routing via Graph Neural Networks and Multi-Agent Deep Reinforcement Learning[J]. IEEE Transactions on Network and Service Management, 2023. Link Code
Li Y, Li J, Lv Z, et al. GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing empowered Task Offloading[J]. IEEE Transactions on Network and Service Management, 2023. Link
Yang Y, Zhang Z, Tian Y, et al. Implementing Graph Neural Networks Over Wireless Networks via Over-the-Air Computing: A Joint Communication and Computation Framework[J]. IEEE Wireless Communications, 2023, 30(3): 62-69. Link
Farreras M, Soto P, Camelo M, et al. Improving network delay predictions using GNNs[J]. Journal of Network and Systems Management, 2023, 31(4): 65. Link Code
Hou J, Tao T, Lu H, et al. Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN[J]. Future Internet, 2023, 15(8): 251. Link
Maroudis A C, Theodoropoulos T, Violos J, et al. Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing[J]. IEEE Transactions on Network and Service Management, 2023. Link
Yang M, Liu G, Zhou Z, et al. Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph Attention Network for UAV Swarms[J]. Drones, 2023, 7(7): 476. Link
Liu S, Onishi T, Taki M, et al. A Generalizable Indoor Propagation Model Based on Graph Neural Networks[J]. IEEE Transactions on Antennas and Propagation, 2023. Link
Altaf T, Wang X, Ni W, et al. A new concatenated Multigraph Neural Network for IoT intrusion detection[J]. Internet of Things, 2023: 100818. Link
Gao M, Wu L, Li Q, et al. Anomaly traffic detection in IoT security using graph neural networks[J]. Journal of Information Security and Applications, 2023, 76: 103532. Link
Wang Y, Zhang B, Ma J, et al. Artificial intelligence of things (AIoT) data acquisition based on graph neural networks: A systematical review[J]. Concurrency and Computation: Practice and Experience, e7827. Link
Hong Y, Li Q, Yang Y, et al. Graph based Encrypted Malicious Traffic Detection with Hybrid Analysis of Multi-view Features[J]. Information Sciences, 2023: 119229. Link
Pamuklu T, Syed A, Kennedy W S, et al. Heterogeneous GNN-RL Based Task Offloading for UAV-aided Smart Agriculture[J]. IEEE Networking Letters, 2023. Link
Xiao Y, Sun Z, Shi G, et al. Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning[J]. IEEE Journal on Selected Areas in Communications, 2023. Link Code
Ye Z, Wang K, Chen Y, et al. Multi-UAV navigation for partially observable communication coverage by graph reinforcement learning[J]. IEEE Transactions on Mobile Computing, 2023. Link
Hu G, Xiao X, Shen M, et al. TCGNN: Packet-grained network traffic classification via Graph Neural Networks[J]. Engineering Applications of Artificial Intelligence, 2023, 123: 106531. Link
Chen G, Liu Y, Zhang T, et al. A Graph Neural Network based Radio Map Construction Method for Urban Environment[J]. IEEE Communications Letters, 2023. Link
Xu G, Xu M, Chen Y, et al. A Mobile Application-Classifying Method Based on a Graph Attention Network from Encrypted Network Traffic[J]. Electronics, 2023, 12(10): 2313. Link
Fu N, Cheng G, Su X. Accurate compressed traffic detection via traffic analysis using Graph Convolutional Network based on graph structure feature[J]. Computer Communications, 2023. Link
Zhang Y, Zhang M, Gui Y, et al. Adaptive graph convolutional recurrent neural networks for system-level mobile traffic forecasting[J]. China Communications, 2023. Link
Zhao H, Yang B, Cui J, et al. Effective Fault Scenario Identification for Communication Networks Via Knowledge-Enhanced Graph Neural Networks[J]. IEEE Transactions on Mobile Computing, 2023. Link
Asheralieva A, Niyato D, Miyanaga Y. Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks with Online ADMM and Message Passing Graph Neural Networks[J]. IEEE Transactions on Mobile Computing, 2023. Link
Ding S, Wang J, Fu X. GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework[J]. IEEE Transactions on Network Science and Engineering, 2023. Link
Deng X, Sun J, Lu J. Graph Neural Network-Based Efficient Subgraph Embedding Method for Link Prediction in Mobile Edge Computing[J]. Sensors, 2023, 23(10): 4936. Link
Bilot T, El Madhoun N, Al Agha K, et al. Graph Neural Networks for Intrusion Detection: A Survey[J]. IEEE Access, 2023. Link
Lu P, Jing C, Zhu X. GraphSAGE-Based Multi-Path Reliable Routing Algorithm for Wireless Mesh Networks[J]. Processes, 2023, 11(4): 1255. Link
Yumlembam R, Issac B, Jacob S M, et al. Iot-based android malware detection using graph neural network with adversarial defense[J]. IEEE Internet of Things Journal, 2023. Link
Zhang Z, Tao M, Liu Y F. Learning to Beamform in Joint Multicast and Unicast Transmission with Imperfect CSI[J]. IEEE Transactions on Communications, 2023. Link
Li Z, Wang X, Pan L, et al. Network Topology Optimization via Deep Reinforcement Learning[J]. IEEE Transactions on Communications, 2023. Link
Yang S, Zhang L, Cui L, et al. RLCS: Towards a robust and efficient mobile edge computing resource scheduling and task offloading system based on graph neural network[J]. Computer Communications, 2023, 206: 38-50. Link
Li D, Zhang H, Ding H, et al. User Preference Learning-based Proactive Edge Caching for D2D-Assisted Wireless Networks[J]. IEEE Internet of Things Journal, 2023. Link Code
Shen Y, Zhang J, Song S H, et al. Graph neural networks for wireless communications: From theory to practice[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
Mohsenivatani M, Ali S, Ranasinghe V, et al. Graph Representation Learning for Wireless Communications[J]. IEEE Communications Magazine, 2023. Link
Li Y, Lu Y, Zhang R, et al. Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-based Approach[J]. IEEE Wireless Communications Letters, 2023. Link Data
Ling C, Feng Z, Xu L, et al. An Edge Server Placement Algorithm Based on Graph Convolution Network[J]. IEEE Transactions on Vehicular Technology, 2023. Link
Zhu J, Li R, Ding G, et al. AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching[J]. IEEE Transactions on Cognitive Communications and Networking, 2023. Link
Wang D, Bai Y, Huang G, et al. Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning[J]. IEEE Internet of Things Journal, 2023. Link
Sivakumar N R, Nagarajan S M, Devarajan G G, et al. Enhancing network lifespan in wireless sensor networks using deep learning based Graph Neural Network[J]. Physical Communication, 2023: 102076. Link
Khalid Alkahtani H, Mahmood K, Khalid M, et al. Optimal Graph Convolutional Neural Network-Based Ransomware Detection for Cybersecurity in IoT Environment[J]. Applied Sciences, 2023, 13(8): 5167. Link
He Q, Wang Y, Wang X, et al. Routing Optimization With Deep Reinforcement Learning in Knowledge Defined Networking[J]. IEEE Transactions on Mobile Computing, 2023. Link
Wang Z, Hu J, Min G, et al. Spatial-Temporal Cellular Traffic Prediction for 5G and Beyond: A Graph Neural Networks-Based Approach[J]. IEEE Transactions on Industrial Informatics, 2023. Link
Hou J, Lu H, Nayak A. A GNN-based proactive caching strategy in NDN networks[J]. Peer-to-Peer Networking and Applications, 2023: 1-13. Link
Zhang X, Zhao H, Wei J, et al. Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
Schynol L, Pesavento M. Coordinated sum-rate maximization in multicell MU-MIMO with deep unrolling[J]. IEEE Journal on Selected Areas in Communications, 2023. Link Code
Deng X, Zhu J, Pei X, et al. Flow Topology-based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks[J]. IEEE Transactions on Network and Service Management, 2023. Link
Fawaz H, Lesca J, Quang P T A, et al. Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents[J]. IEEE Transactions on Network and Service Management, 2023. Link
Gu Y, She C, Quan Z, et al. Graph Neural Networks for Distributed Power Allocation in Wireless Networks: Aggregation Over-the-Air[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
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Liu W, Cai J, Zhu Y, et al. Load Balancing Inside Programmable Data Planes Based on Network Modeling Prediction Using a GNN with Network Behaviors[J]. Computer Networks, 2023: 109695. Link
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Wang Z, Zhou Y, Zou Y, et al. A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning[J]. IEEE Transactions on Wireless Communications, 2023. Link Code
Diao Z, Xie G, Wang X, et al. EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks[J]. Computer Networks, 2023: 109614. Link
Zhou X, Bilal M, Dou R, et al. Edge Computation Offloading With Content Caching in 6G-Enabled IoV[J]. IEEE Transactions on Intelligent Transportation Systems, 2023. Link
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Sun Z, Mo Y, Yu C. Graph Reinforcement Learning based Task offloading for Multi-access Edge Computing[J]. IEEE Internet of Things Journal, 2023. Link
Wei W, Fu L, Gu H, et al. GRL-PS: Graph embedding-based DRL approach for adaptive path selection[J]. IEEE Transactions on Network and Service Management, 2023. Link
Liu T, Li Z, Long H, et al. NT-GNN: Network Traffic Graph for 5G Mobile IoT Android Malware Detection[J]. Electronics, 2023, 12(4): 789. Link
Ren G, Cheng G, Fu N. Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network[J]. Applied Sciences, 2023, 13(3): 1483. Link

Conference

Zhang G, Song J, Hu Y, et al. Fine-grained Task Scheduling Based on Graph Neural Network and Federated Learning in Vehicle Edge Computing[C]//2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 2467-2474. Link
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Xu T, Tan X, Zhang Z, et al. MIMO Detection Based on Graph Neural Network with Belief Propagation[C]//2023 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2023: 1095-1100. Link
Lin S, Lee M, Chen Q, et al. OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks[C]//2023 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2023: 152-157. Link
Graham J, Medico A, Dividino R, et al. Edge Clustering and Communication Efficiency with GNNs in Internet of Vehicles[C]//International Conference on Wireless Intelligent and Distributed Environment for Communication. Cham: Springer Nature Switzerland, 2023: 47-64. Link Code
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Guo J, Yang C. A Size-Generalizable GNN for Learning Precoding[C]//2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall). IEEE, 2023: 1-6. Link
Saheed K, Henna S. Heterogeneous Graph Transformer for Advanced Persistent Threat Classification in Wireless Networks[C]//2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2023: 15-20. Link
Liao X, Sun H, Wang J, et al. Solving Distributed ACL Policies Under Complex Constraints with Graph Neural Networks[C]//2023 IEEE 31st International Conference on Network Protocols (ICNP). IEEE, 2023: 1-12. Link
Rezazadeh F, Barrachina-Muñoz S, Zeydan E, et al. X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks[C]//2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2023: 172-174. Link
Mehrabian A, Bahrami S, Wong V W S. A dynamic Bernstein graph recurrent network for wireless cellular traffic prediction[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3842-3847. Link
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He P, Tang Y, Xu F, et al. Cellular Network Optimization Using Unfolding-Based Graph Neural Networks[C]//2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2023: 551-555. Link
Gao Z, Shao Y, Gündüz D, et al. Decentralized channel management in WLANs with graph neural networks[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3072-3077. Link
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Sun H, Wu Q, She H, et al. DGL-Routing: One Routing Optimization Model Based on Deep Graph Learning[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 891-896. Link
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Hao X, Yeoh P L, Liu Y, et al. Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 332-337. Link
Tian Z, Zhang Z, Jin R. Graph-attention-Based decentralized edge learning for Non-IID data[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 110-115. Link
Zhang L, Shi H, Zhang K, et al. GraphMal: A Network Malicious Traffic Identification Method Based on Graph Neural Network[C]//2023 International Conference on Networking and Network Applications (NaNA). IEEE, 2023: 262-267. Link
Wang Y, Li Y, Shi Q, et al. Learning cooperative beamforming with edge-update empowered graph neural networks[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 5111-5116. Link
Kim D, Song S. Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers[C]//2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). IEEE, 2023: 109-114. Link Code
Wang X, Cheng N, Fu L, et al. Scalable resource management for dynamic mec: An unsupervised link-output graph neural network approach[C]//2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2023: 1-6. Link Code
Du Q, Duan Y, Tao X, et al. Sketch Graph Representation for Multimedia Computational Communications: A Learning-Based Method[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 553-558. Link
Lai J, Yang F, Ying C, et al. Spatial-Temporal Correlation-Based Prediction Model for Node and Link Residual Resources in NFV Networks[C]//2023 International Conference on Networking and Network Applications (NaNA). IEEE, 2023: 256-261. Link
Hou J, Nayak A. Spatial-Temporal Graph Attention-Based Multi-Agent Reinforcement Learning in Cooperative Edge Caching[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3078-3083. Link
Perdomo J, Gutierrez-Estevez M A, Zhou C, et al. Towards a Wireless Network Digital Twin Model: A Heterogeneous Graph Neural Network Approach[C]//2023 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2023: 29-35. Link
Tan Y, Wang J, Liu J. Virtual Network Embedding with Changeable Action Space: An Approach Based on Graph Neural Network and Reinforcement Learning[C]//ICC 2023-IEEE International Conference on Communications. IEEE, 2023: 3646-3651. Link
Ye M, Liang X, Pan C, et al. Channel Estimation for mmWave Massive MIMO Systems Using Graph Neural Networks[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-5. Link
Kim D, Song S. Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers[C]//2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). IEEE, 2023: 109-114. Link Code
Theodoropoulos T, Makris A, Psomakelis E, et al. GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning[C]//2023 IEEE 16th International Conference on Cloud Computing (CLOUD). IEEE, 2023: 120-128. Link
Zhang L, Tan L, Shi H, et al. Malicious Traffic Classification for IoT based on Graph Attention Network and Long Short-Term Memory Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 54-59. Link
Li L, Chen H, Yeom S, et al. Network State Prediction with Attention-Based Graph Convolutional Network[C]//2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2023: 215-218. Link
El Kamel A. A GNN-Based Rate Limiting Framework for DDoS Attack Mitigation in Multi-Controller SDN[C]//2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023: 893-896. Link
Guo Y, Wu Q, She H. A Routing Optimization Policy Using Graph Convolution Deep Reinforcement Learning[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2023: 1-6. Link
Bian Y, Sun Y, Zhai M, et al. Dependency-Aware Task Scheduling and Offloading Scheme based on Graph Neural Network For MEC-Assisted Network[C]//2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2023: 1-6. Link
Carletti V, Foggia P, Vento M. Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks[C]//International Workshop on Graph-Based Representations in Pattern Recognition. Cham: Springer Nature Switzerland, 2023: 127-138. Link
Shen Z, Zhao X, Zou J. GinApp: An Inductive Graph Learning based Framework for Mobile Application Usage Prediction[C]//IEEE INFOCOM 2023-IEEE Conference on Computer Communications. IEEE, 2023: 1-10. Link
Li Y, Zhou Z, Li R, et al. GoGDDoS: A Multi-Classifier for DDoS Attacks Using Graph Neural Networks[C]//2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023: 1462-1467. Link
Liu J, Tang F, Chen L, et al. EAGLE: Heterogeneous GNN-based Network Performance Analysis[C]//2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS). IEEE, 2023: 1-10. Link
Li K, Ni W, Yuan X, et al. Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing[C]//2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023: 1-6. Link
Rathore H, Griffith H. GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning[C]//2023 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2023: 201-203. Link
Zhao B, Yang C. Learning Beamforming for RIS-aided Systems with Permutation Equivariant Graph Neural Networks[C]//2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023: 1-5. Link
Wei C, Xie G, Diao Z. Network Flow Based IoT Anomaly Detection Using Graph Neural Network[C]//International Conference on Knowledge Science, Engineering and Management. Cham: Springer Nature Switzerland, 2023: 432-445. Link
Xie Y, Niu G, Pun M O, et al. Online Bipartite Matching for HAP Access in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning[C]. ICC Workshops, 2023. Link
Saleem A, Raeiszadeh M, Ebrahimzadeh A, et al. A Deep Learning Approach for Root Cause Analysis in Real-Time IIoT Edge Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-5. Link
Rivera J J D, Sarwar M M S, Alam S, et al. An Intent-Based Networking mechanism: A study case for efficient path selection using Graph Neural Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-6. Link
Aykurt K, Kellerer W. Autonomous Network Management in Multi-Domain 6G Networks based on Graph Neural Networks[C]//9th IEEE International Conference on Network Softwarization (NetSoft), PhD Symposium. 2023. Link
Li J, Zhou F, Li W, et al. Componentized Task Scheduling in Cloud-Edge Cooperative Scenarios Based on GNN-enhanced DRL[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-4. Link
Moayyedi A, Ahmadi M, Salahuddin M A, et al. Generalizable GNN-based 5G RAN/MEC Slicing and Admission Control in Metropolitan Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-9. Link
Fawaz H, Houidi O, Zeghlache D, et al. Graph Convolutional Reinforcement Learning for Load Balancing and Smart Queuing[C]//2023 IFIP Networking Conference (IFIP Networking). IEEE, 2023: 1-9. Link
Zhang L, Yin B, Wang Q, et al. Graph Neural Network-based Delay Prediction Model Enhanced by Network Calculus[C]//2023 IFIP Networking Conference (IFIP Networking). IEEE, 2023: 1-7. Link
Chawla A, Bosneag A M, Dalgkitsis A. Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-6. Link
Bouton M, Jeong J, Outes J, et al. Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning[C]//NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023: 1-7. Link
Barsellotti L, De Marinis L, Cugini F, et al. FTG-Net: Hierarchical Flow-to-Traffic Graph Neural Network for DDoS Attack Detection[C]//2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR). IEEE, 2023: 173-178. Link
Peng Y, Guo Y, Hao R, et al. Network Traffic Prediction with Attention-based Spatial-Temporal Graph Network[C]//2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR). IEEE, 2023: 153-158. Link
Chen Y, Cao H, Zhou Y, et al. A GCN-GRU Based End-to-End LEO Satellite Network Dynamic Topology Prediction Method[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Pang B, Fu Y, Ren S, et al. A Multi-Modal Approach For Context-Aware Network Traffic Classification[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link
Zhao Z, Radojicic B, Verma G, et al. Delay-Aware Backpressure Routing Using Graph Neural Networks[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link Code
Abouamer M S, Mitran P. Flexible Resource Allocation in IRS-assisted Systems using Hypernetworks[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Lu X, Zhang X, Lio P. GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network[C]//Companion Proceedings of the ACM Web Conference 2023. 2023: 127-131. Link
He H, Kosasih A, Yu X, et al. GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Mo C T, Chen J H, Liao W. Graph Convolutional Network Augmented Deep Reinforcement Learning for Dependent Task Offloading in Mobile Edge Computing[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Wang G, Cheng P, Chen Z, et al. Inverse Reinforcement Learning with Graph Neural Networks for IoT Resource Allocation[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link
Xu X, Chen H, Simsarian J E, et al. Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing[C]//Optical Fiber Communication Conference. Optica Publishing Group, 2023: M3G. 5. Link
Chen X, Chuai G, Zhang K, et al. Spatial-temporal Cellular Traffic Prediction: A Novel Method Based on Causality and Graph Attention Network[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link
Shrestha S, Fu X, Hong M. Towards efficient and optimal joint beamforming and antenna selection: A machine learning approach[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. Link Code
Xie Z, Xu H, Chen W, et al. Unsupervised Anomaly Detection on Microservice Traces through Graph VAE[C]//Proceedings of the ACM Web Conference 2023. 2023: 2874-2884. Link Code
Liu M, Huang C, Di Renzo M, et al. Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks[C]. ICC, 2023. Link
Zhang H, Yu L, Xiao X, et al. TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification[C]//Proceedings of the ACM Web Conference 2023. 2023: 2066-2075. Link
Abode D, Adeogun R, Berardinelli G. Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link Code
Kisanga P, Woungang I, Traore I, et al. Network Anomaly Detection Using a Graph Neural Network[C]//2023 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2023: 61-65. Link
Ge Z, Hou J, Nayak A. Forecasting SDN End-to-End Latency Using Graph Neural Network[C]//2023 International Conference on Information Networking (ICOIN). IEEE, 2023: 293-298. Link
Perera T, Alapallu S, Fang Y, et al. Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks[C]//2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023: 1-6. Link Code

Preprint

Hao X, She C, Yeoh P L, et al. Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation[J]. arXiv preprint arXiv:2401.10253, 2023. Link
Abode D, Adeogun R, Salaün L, et al. Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks[J]. arXiv preprint arXiv:2401.00950, 2023. Link
Mourya S, Reddy P, Amuru S D, et al. Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction[J]. arXiv preprint arXiv:2312.02159, 2023. Link Code
Zhao Z, Perazzone J, Verma G, et al. Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks[J]. arXiv preprint arXiv:2312.02471, 2023. Link
Li X, Chen M, Liu Y, et al. Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks[J]. arXiv preprint arXiv:2302.02878, 2023. Link
Güemes-Palau C, Galmés M F, Cabellos-Aparicio A, et al. Building a Graph-based Deep Learning network model from captured traffic traces[J]. arXiv preprint arXiv:2310.11889, 2023. Link
Zhu J, Li R, Chen X, et al. Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving[J]. arXiv preprint arXiv:2301.12355, 2023. Link
Skocaj M, Rivera P E I, Verdone R, et al. Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning[J]. arXiv preprint arXiv:2301.11903, 2023. Link
Das S, NaderiAlizadeh N, Ribeiro A. Learning State-Augmented Policies for Information Routing in Communication Networks[J]. arXiv preprint arXiv:2310.00248, 2023. Link
Li J, Ye M, Huang L, et al. An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning[J]. arXiv preprint arXiv:2305.10441, 2023. Link
Kang C, Woo J, Hong J W K. Bitcoin Double-Spending Attack Detection using Graph Neural Network[J]. arXiv preprint arXiv:2304.13935, 2023. Link
Almasan P, Suárez-Varela J, Lutu A, et al. Enhancing 5G Radio Planning with Graph Representations and Deep Learning[J]. arXiv preprint arXiv:2309.03603, 2023. Link
Zhou H, Kannan R, Swami A, et al. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN[J]. arXiv preprint arXiv:2304.10013, 2023. Link Code
Chen Y, Shi Z, Wang H, et al. Graph Convolutional Network Enabled Power-Constrained HARQ Strategy for URLLC[J]. arXiv preprint arXiv:2308.02131, 2023. Link
Bernárdez G, Suárez-Varela J, Shi X, et al. GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters[J]. arXiv preprint arXiv:2308.04905, 2023. Link
Zhao M, Fink O. Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks[J]. arXiv preprint arXiv:2307.03761, 2023. Link
Liu Z, Huang L, Gao Z, et al. GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds[J]. arXiv preprint arXiv:2307.00777, 2023. Link
Yang H, Cheng N, Sun R, et al. Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach[J]. arXiv preprint arXiv:2307.05882, 2023. Link
Ma M. Multi-Task Offloading via Graph Neural Networks in Heterogeneous Multi-access Edge Computing[J]. arXiv preprint arXiv:2306.10232, 2023. Link
Chowdhury A, Verma G, Swami A, et al. Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks[J]. arXiv preprint arXiv:2304.00446, 2023. Link Code
Krishnan S, Park J, Sagar S, et al. Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks[J]. arXiv preprint arXiv:2306.01143, 2023. Link
Mourya S, Reddy P, Amuru S D, et al. Graph Neural Networks-Based User Pairing in Wireless Communication Systems[J]. arXiv preprint arXiv:2306.00717, 2023. Link
Li B, Perazzone J, Swami A, et al. Learning to Transmit with Provable Guarantees in Wireless Federated Learning[J]. arXiv preprint arXiv:2304.09329, 2023. Link Code
Chen L, Zhu J, Evans J. Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks[J]. arXiv preprint arXiv:2305.12639, 2023. Link
Li J, Ye M, Huang L, et al. An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning[J]. arXiv preprint arXiv:2305.10441, 2023. Link Code
Du J, Luo T. Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World[J]. arXiv preprint arXiv:2304.10018, 2023. Link
Chen L, Zhu J, Evans J. Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes[J]. arXiv preprint arXiv:2303.16113, 2023. Link
Zhou H, Kannan R, Swami A, et al. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN[J]. arXiv preprint arXiv:2304.10013, 2023. Link Code
Jin Y, Daoutis M, Girdzijauskas S, et al. Learning Cellular Coverage from Real Network Configurations using GNNs[J]. arXiv preprint arXiv:2304.10328, 2023. Link Code
Paul R, Cohen K, Kedar G. Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach[J]. arXiv preprint arXiv:2303.15544, 2023. Link
Zhu J, Li R, Chen X, et al. Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving[J]. arXiv preprint arXiv:2301.12355, 2023. Link
Xiao B, Li R, Wang F, et al. Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles[J]. arXiv preprint arXiv:2303.13213, 2023. Link
He H, Yu X, Zhang J, et al. Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems[J]. arXiv preprint arXiv:2302.06896, 2023. Link

2022

Journal

Li W, Wang H, Zhang X, et al. Security service function chain based on graph neural network[J]. Information, 2022, 13(2): 78. Link
NaderiAlizadeh N, Eisen M, Ribeiro A. State-Augmented Learnable Algorithms for Resource Management in Wireless Networks[J]. IEEE Transactions on Signal Processing, 2022, 70: 5898-5912. Link Code
Zhao Z, Verma G, Rao C, et al. Link scheduling using graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022. Link Code
Zhao X, Wu C. Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph Reinforcement Learning[J]. IEEE Transactions on Network and Service Management, 2022. Link
Chen J, Xiao W, Li X, et al. A routing optimization method for software-defined optical transport networks based on ensembles and reinforcement learning[J]. Sensors, 2022, 22(21): 8139. Link
Bernárdez G, Suárez-Varela J, López A, et al. MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering[J]. IEEE Transactions on Cognitive Communications and Networking, 2023. Link Code
Nikoloska I, Simeone O. Modular meta-learning for power control via random edge graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022, 22(1): 457-470. Link
Qiu R, Bao J, Li Y, et al. Virtual network function deployment algorithm based on graph convolution deep reinforcement learning[J]. The Journal of Supercomputing, 2022: 1-22. Link
Wang R, Zhang J, Gu Z, et al. Edge-enhanced graph neural network for DU-CU placement and lightpath provision in X-Haul networks[J]. Journal of Optical Communications and Networking, 2022, 14(10): 828-839. Link
Ye M, Zhang J, Guo Z, et al. FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks[J]. IEEE/ACM Transactions on Networking, 2022. Link
Huoh T L, Luo Y, Li P, et al. Flow-based Encrypted Network Traffic Classification with Graph Neural Networks[J]. IEEE Transactions on Network and Service Management, 2022. Link
Tan K, Bremner D, Le Kernec J, et al. Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks[J]. Scientific Reports, 2022, 12(1): 1-18. Link
Liu T, Li P, Gu Y, et al. S-Glint: Secure Federated Graph Learning with Traffic Throttling and Flow Scheduling[J]. IEEE Transactions on Green Communications and Networking, 2022. Link
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Zhang Y, Li A, Li J, et al. SpecKriging: GNN-based Secure Cooperative Spectrum Sensing[J]. IEEE Transactions on Wireless Communications, 2022, 21(11): 9936-9946. Link
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He S, Xiong S, An Z, et al. An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks[J]. IEEE Transactions on Wireless Communications, 2022. Link
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Eswaramoorthi R, Leeban Moses M, Sahul Hameed J B, et al. Deep graph neural network optimized with fertile field algorithm based detection model for uplink multiuser massive multiple‐input and multiple‐output system[J]. Transactions on Emerging Telecommunications Technologies, 2022: e4614. Link
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Xu L, Huang Y C, Xue Y, et al. Deep Reinforcement Learning-based Routing and Spectrum Assignment of EONs by Exploiting GCN and RNN for Feature Extraction[J]. Journal of Lightwave Technology, 2022. Link
Li K, Ni W, Yuan X, et al. Deep Graph-based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet-of-Things (EdgeIoT)[J]. IEEE Internet of Things Journal, 2022. Link
Lan J, Lu J Z, Wan G G, et al. E-minBatch GraphSAGE: An Industrial Internet Attack Detection Model[J]. Security and Communication Networks, 2022, 2022. Link
Feng Y, Chen J, Liu Z, et al. Full Graph Autoencoder for One-Class Group Anomaly Detection of IIoT System[J]. IEEE Internet of Things Journal, 2022. Link
Lee J, Cheng Y, Niyato D, et al. Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks[J]. IEEE Transactions on Vehicular Technology, 2022, 71(10): 11120-11135. Link
Zhang Y, Yang C, Huang K, et al. Intrusion detection of industrial internet-of-things based on reconstructed graph neural networks[J]. IEEE Transactions on Network Science and Engineering, 2022. Link Code
Wang X, Fu L, Cheng N, et al. Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach[J]. Remote Sensing, 2022, 14(17): 4377. Link
Zhang X, Zhang Z, Yang L. Learning-Based Resource Allocation in Heterogeneous Ultra Dense Network[J]. IEEE Internet of Things Journal, 2022. Link
Liu Z, Qiu H, Guo W, et al. NIE-GAT: Node Importance Evaluation Method for Inter-Domain Routing Network Based on Graph Attention Network[J]. Journal of Computational Science, 2022: 101885. Link
Zhang X. Path Selection Strategy of Communication Network Based on Graph Convolutional Neural Network[J]. Security and Communication Networks, 2022, 2022. Link
Zheng X, Huang W, Li H, et al. Research on Generalized Intelligent Routing Technology Based on Graph Neural Network[J]. Electronics, 2022, 11(18): 2952. Link
Peng Y, Liu C, Liu S, et al. SmartTRO: Optimizing topology robustness for Internet of Things via deep reinforcement learning with graph convolutional networks[J]. Computer Networks, 2022: 109385. Link
Chen N, Zhang P, Kumar N, et al. Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture[J]. Knowledge-Based Systems, 2022, 257: 109931. Link
Guo J, Yang C. Learning power allocation for multi-cell-multi-user systems with heterogeneous graph neural networks[J]. IEEE Transactions on Wireless Communications, 2022, 21(2): 884-897. Link
Wang Z, Eisen M, Ribeiro A. Learning decentralized wireless resource allocations with graph neural networks[J]. IEEE Transactions on Signal Processing, 2022, 70: 1850-1863. Link
Huang R, Guan W, Zhai G, et al. Deep Graph Reinforcement Learning Based Intelligent Traffic Routing Control for Software-Defined Wireless Sensor Networks[J]. Applied Sciences, 2022, 12(4): 1951. Link
Fang Y, Ergüt S, Patras P. SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting[J]. IEEE Communications Letters, 2022, 26(3): 582-586. Link
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Govindaraju S, Vinisha W V R, Shajin F H, et al. Intrusion detection framework using auto‐metric graph neural network optimized with hybrid woodpecker mating and capuchin search optimization algorithm in IoT network[J]. Concurrency and Computation: Practice and Experience, e7197, 2022. Link
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Cao H, Zhu W, Feng W, et al. Robust beamforming based on graph attention networks for IRS-assisted Satellite IoT Communications[J]. Entropy, 2022, 24(3): 326. Link
Peng S, Nie J, Shu X, et al. A multi-view framework for BGP anomaly detection via graph attention network[J]. Computer Networks, 2022, 214: 109129. Link
Yan B, Liu Q, Shen J L, et al. Flowlet-level multipath routing based on graph neural network in OpenFlow-based SDN[J]. Future Generation Computer Systems, 2022, 134: 140-153. Link
Almasan P, Xiao S, Cheng X, et al. ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning[J]. Computer Networks, 2022, 214: 109166. Link
Chen B, Zhu D, Wang Y, et al. An Approach to Combine the Power of Deep Reinforcement Learning with a Graph Neural Network for Routing Optimization[J]. Electronics, 2022, 11(3): 368. Link
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Li Y, Li J, Pang J. A Graph Attention Mechanism-Based Multiagent Reinforcement-Learning Method for Task Scheduling in Edge Computing[J]. Electronics, 2022, 11(9): 1357. Link
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Wang T, Chen S, Zhu Y, et al. LinkSlice: Fine-grained Network Slice Enforcement Based on Deep Reinforcement Learning[J]. IEEE Journal on Selected Areas in Communications, 2022. Link
Zhang Z, Jiang T, Yu W. Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink[J]. IEEE Journal of Selected Topics in Signal Processing, 2022. Link
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Conference

Xu H, Li S, Cheng Z, et al. VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Cham: Springer Nature Switzerland, 2022: 437-456. Link
He H, Su L, Ye K. GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster[C]//2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 499-506. Link Code
Cheng P, Chen G, Han Z. Graph Neural Networks based Resource Allocation in Heterogeneous Wireless Networks[C]//Proceedings of the 7th International Conference on Intelligent Information Processing. 2022: 1-6. Link
Zhang J, Jiang Y, Liu X, et al. Design of Retransmission Mechanism for Decentralized Inference with Graph Neural Networks[C]//2022 27th Asia Pacific Conference on Communications (APCC). IEEE, 2022: 515-519. Link
Chen L, Yan N, Zhang B, et al. A General Backdoor Attack to Graph Neural Networks Based on Explanation Method[C]//2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2022: 759-768. Link
Boukhtouta A, Madi T, Pourzandi M, et al. Cloud Native Applications Profiling using a Graph Neural Networks Approach[C]//2022 IEEE Future Networks World Forum (FNWF). IEEE, 2022: 220-227. Link
Yan N, Wen Y, Chen L, et al. Deepro: Provenance-based APT Campaigns Detection via GNN[C]//2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2022: 747-758. Link
Liu Y, She C, Hardjawana W, et al. Graph Neural Networks for Timely Updates of Short Packets in Interference-Limited Networks[C]//2022 56th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2022: 1050-1054. Link
Coleman J, Kiamari M, Clark L, et al. Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things[C]//MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM). IEEE, 2022: 1070-1075. Link Code
Li B, Swami A, Segarra S. Power allocation for wireless federated learning using graph neural networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5243-5247. Link Code
Wang H, Zhang R, Cheng X, et al. Federated Spatio-Temporal Traffic Flow Prediction Based on Graph Convolutional Network[C]//2022 14th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2022: 221-225. Link
Tonchev K, Neshov N, Ivanov A, et al. Automatic Modulation Classification using Graph Convolutional Neural Networks for Time-frequency Representation[C]//2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2022: 75-79. Link
Bai Y, Wang D, Song B. A Knowledge Graph-based Cooperative Caching Scheme in MEC-enabled Heterogeneous Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 5959-5964. Link
Kim J, Lee H, Park S H. Autoencoding Graph Neural Networks for Scalable Transceiver Design[C]//2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022: 1-2. Link
Su Y, Zhou H, Deng Y. D2D-Based Cellular-Connected UAV Swarm Control Optimization via Graph-Aware DRL[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 1326-1331. Link
Randall M, Belzarena P, Larroca F, et al. Deep Reinforcement Learning and Graph Neural Networks for Efficient Resource Allocation in 5G Networks[C]//2022 IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2022: 1-6. Link Code
Lent R. Dynamic Routing in Challenged Networks with Graph Neural Networks[C]//2022 IEEE Latin-American Conference on Communications (LATINCOM). IEEE, 2022: 1-6. Link
Chen R, Shi H, Wu J, et al. GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning[C]//Algorithms and Architectures for Parallel Processing: 22nd International Conference, ICA3PP 2022, Copenhagen, Denmark, October 10–12, 2022, Proceedings. Cham: Springer Nature Switzerland, 2023: 568-589. Link
Li N, Iosifidis A, Zhang Q. Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 982-987. Link
Zhu H, Lu J. Graph-based Intrusion Detection System Using General Behavior Learning[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 2621-2626. Link
Li C, Li F, Yu M, et al. Insider Threat Detection Using Generative Adversarial Graph Attention Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 2680-2685. Link
Tonchev K, Ivanov A, Neshov N, et al. Learning Graph Convolutional Neural Networks to Predict Radio Environment Maps[C]//2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2022: 392-395. Link
Zhang H, Tian Q, Han Y. Multi channel spectrum prediction algorithm based on GCN and LSTM[C]//2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall). IEEE, 2022: 1-5. Link
Zhu R, Luo X, Yao J, et al. Prediction of Cellular Network Channel Utilization Based on Graph Convolutional Networks[C]//2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2022: 1233-1238. Link
He S, Ou Y, Wang L, et al. Representation Learning of Knowledge Graph for Wireless Communication Networks[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 1338-1343. Link
Li C, Lou J, Liu S, et al. Shapley Explainer-An Interpretation Method for GNNs Used in SDN[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 5534-5540. Link
Xu H, Li S, Cheng Z, et al. TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN[C]//GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022: 891-896. Link
Geng Z, She C, Zhang D, et al. Zero-Shot Recurrent Graph Neural Networks for Beam Prediction in Non-Terrestrial Networks[C]//2022 IEEE Globecom Workshops (GC Wkshps). IEEE, 2022: 1400-1405. Link
Herath J D, Wakodikar P P, Yang P, et al. CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs[C]//2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2022: 172-184. Link Code
Yaqoob M, Trestian R, Nguyen H X. Data-driven network performance prediction for B5G networks: a graph neural network approach[C]//2022 IEEE Ninth International Conference on Communications and Electronics (ICCE). IEEE, 2022: 55-60. Link
Hara T, Sasabe M. Deep Reinforcement Learning with Graph Neural Networks for Capacitated Shortest Path Tour based Service Chaining[C]//2022 18th International Conference on Network and Service Management (CNSM). IEEE, 2022: 19-27. Link
Bhavanasi S S, Pappone L, Esposito F. Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning[C]//2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2022: 72-77. Link
Zhou X, Zhang J, Wen C K, et al. Extrinsic Graph Neural Network-Aided Expectation Propagation for Turbo-MIMO Receiver[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Li Y, Xie Q, Wang W, et al. GCN-Based Topology Design for Decentralized Federated Learning in IoV[C]//2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2022: 1-6. Link
Yang L, Cheng M, Qu J, et al. GraphHO: A Graph-based Handover Optimization System for Cellular Networks[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Sun X, Yang J. HetGLM: Lateral Movement Detection by Discovering Anomalous Links with Heterogeneous Graph Neural Network[C]//2022 IEEE International Performance, Computing, and Communications Conference (IPCCC). IEEE, 2022: 404-411. Link
Hou Q, Lee M, Yu G, et al. Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network[C]//2022 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2022: 1-6. Link
Heo D N, Lee D, Kim H G, et al. Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management[C]//2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2022: 1-6. Link
Jin Y, Vannella F, Bouton M, et al. A Graph Attention Learning Approach to Antenna Tilt Optimization[C]//2022 1st International Conference on 6G Networking (6GNet). IEEE, 2022: 1-5. Link
Ghasemzadeh P, Hempel M, Sharif H. A Robust Graph Convolutional Neural Network-Based Classifier for Automatic Modulation Recognition[C]//2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022: 907-912. Link
Wu J, Wang F, Yao H, et al. Autonomous Operation and Maintenance Technology of Optical Network Based on Graph Neural Network[C]//2022 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2022: 766-772. Link
Harris D, Raz D, Sagiv P. Bandwidth resource allocation in integrated access and backhaul networks[C]//Proceedings of the ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases. 2022: 1-7. Link
Hoarau K, Tournoux P U, Razafindralambo T. BGNN: Detection of BGP Anomalies Using Graph Neural Networks[C]//2022 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2022: 1-6. Link Code
Schynol L, Pesavento M. Deep Unfolding in Multicell MU-MIMO[C]//2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022: 1631-1635. Link Code
Mohammedi E H, Lavinal E, Fleury G. Detecting and locating configuration errors in IP VPNs with Graph Neural Networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Rusek K, Almasan P, Suárez-Varela J, et al. Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing[C]. International Conference on Network and Service Management (CNSM), 2022. Link
Zhao R, Deng X, Wang Y, et al. Flow Sequence-Based Anonymity Network Traffic Identification with Residual Graph Convolutional Networks[C]//2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS). IEEE, 2022: 1-10. Link
Hou J, Lu H, Nayak A. GNN-GM: A Proactive Caching Scheme for Named Data Networking[C]//2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022: 1-6. Link
Yen C C, Sun W, Purmehdi H, et al. Graph Neural Network based Root Cause Analysis Using Multivariate Time-series KPIs for Wireless Networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-7. Link
Li Y, Li R, Zhou Z, et al. GraphDDoS: Effective DDoS Attack Detection Using Graph Neural Networks[C]//2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2022: 1275-1280. Link
Houidi O, Bakri S, Zeghlache D. Multi-Agent Graph Convolutional Reinforcement Learning for Intelligent Load Balancing[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Ji Y, Huang H H. NestedGNN: Detecting Malicious Network Activity with Nested Graph Neural Networks[C]//ICC 2022-IEEE International Conference on Communications. IEEE, 2022: 2694-2699. Link
Yu Q, Wang H, Li T, et al. Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks[C]//2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022: 885-890. Link
Jin Y, Daoutis M, Girdzijauskas S, et al. Open World Learning Graph Convolution for Latency Estimation in Routing Networks[C]//2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022: 1-8. Link Code
Paudel R, Huang H H. Pikachu: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-7. Link
Oshio K, Takada S, Han C, et al. Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique[C]//2022 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2022: 1-3. Link
Hui N, Sun Q, Wang Y, et al. Wireless Resource Allocation based on Multiplexing and Isolation in Sliced 5G Networks[C]//2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1629-1634. Link
NaderiAlizadeh N, Eisen M, Ribeiro A. Adaptive Wireless Power Allocation with Graph Neural Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5213-5217. Link
Zhao Z, Verma G, Swami A, et al. Delay-Oriented Distributed Scheduling Using Graph Neural Networks[C]. ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8902-8906. Link Code
Lo W W, Layeghy S, Sarhan M, et al. E-GraphSAGE: A Graph Neural Network based Intrusion Detection System[C]. NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-9. Link
Wang M, Hui L, Cui Y, et al. xNet: Improving Expressiveness and Granularity for Network Modeling with Graph Neural Networks[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 2028-2037. Link
Happ M, Du J L, Herlich M, et al. Exploring the Limitations of Current Graph Neural Networks for Network Modeling[C]. Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2022. Link
Güemes-Palau C, Almasan P, Xiao S, et al. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-5. Link
Ferriol-Galmés M, Rusek K, Suárez-Varela J, et al. Routenet-erlang: A graph neural network for network performance evaluation[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 2018-2027. Link Code
Zhu J, Li R, Zhao Z, et al. AoI-based Temporal Attention Graph Neural Network for Popularity Prediction in ICN[C]//2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1284-1289. Link
Dai Z, Liu C H, Ye Y, et al. AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications. IEEE, 2022: 1029-1038. Link
Zhao Z, Swami A, Segarra S. Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 5308-5312. Link
Zhu X, Zhang Y, Zhang Z, et al. Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network[C]//IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2022: 1-6. Link
Farreras M, Soto P, Camelo M, et al. Predicting network performance using GNNs: generalization to larger unseen networks[C]//NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2022: 1-6. Link
Zhang Z, Jiang T, Yu W. User Scheduling Using Graph Neural Networks for Reconfigurable Intelligent Surface Assisted Multiuser Downlink Communications[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8892-8896. Link
Lian L, Chen N, Ou P, et al. Mobile Edge Cooperative Caching Strategy Based on Spatio-temporal Graph Convolutional Model[C]//2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2022: 1396-1401. Link
Ferriol-Galmés M, Cheng X, Shi X, et al. FlowDT: A Flow-Aware Digital Twin for Computer Networks[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 8907-8911. Link
Kosasih A, Onasis V, Hardjawana W, et al. Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems[C]. 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 1212-1217. Link

Workshop

Ye W, Hu X, Liu T, et al. 5GNN: extrapolating 5G measurements through GNNs[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 36-41. Link Code
Giakatos D P, Kostoglou S, Sermpezis P, et al. Benchmarking graph neural networks for internet routing data[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 1-6. Link Code
Fernandes D M, Krolikowski J, Houidi Z B, et al. Cross-network transferable neural models for WLAN interference estimation[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 30-35. Link
Kiamari M, Krishnamachari B. Gcnscheduler: Scheduling distributed computing applications using graph convolutional networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 13-17. Link
Randall M, Belzarena P, Larroca F, et al. GROWS: improving decentralized resource allocation in wireless networks through graph neural networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 24-29. Link Code
Jaeger B, Helm M, Schwegmann L, et al. Modeling TCP performance using graph neural networks[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 18-23. Link Code (access required)
Wang T Y, Zhou H, Kannan R, et al. Throughput optimization in heterogeneous MIMO networks: a GNN-based approach[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 42-47. Link
Latif H, Paillissé J, Yang J, et al. Unveiling the potential of graph neural networks for BGP anomaly detection[C]//Proceedings of the 1st International Workshop on Graph Neural Networking. 2022: 7-12. Link

Preprint

Liu Q, Li X, Li Z, et al. Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges[J]. arXiv preprint arXiv:2211.03005, 2022. Link Code
Mehrabi M, Masoudimansour W, Zhang Y, et al. Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network[J]. arXiv preprint arXiv:2301.03412, 2022. Link
Zhao Z, Radojicic B, Verma G, et al. Delay-aware Backpressure Routing Using Graph Neural Networks[J]. arXiv preprint arXiv:2211.10748, 2022. Link Code
Li B, Verma G, Segarra S. Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks[J]. arXiv preprint arXiv:2201.11799, 2022. Link Code
Zhao J, Yang C. Graph Reinforcement Learning for Predictive Power Allocation to Mobile Users[J]. arXiv preprint arXiv:2203.03906, 2022. Link
Geyer F, Scheffler A, Bondorf S. Network Calculus with Flow Prolongation--A Feedforward FIFO Analysis enabled by ML[J]. arXiv preprint arXiv:2202.03004, 2022. Link
Xu X, Liu Y, Mu X, et al. Artificial Intelligence Enabled NOMA Towards Next Generation Multiple Access[J]. arXiv preprint arXiv:2206.04992, 2022. Link
Li H, Wang J, Wang Y. Edge Graph Neural Networks for Massive MIMO Detection[J]. arXiv preprint arXiv:2206.06979, 2022. Link
He H, Kosasihy A, Yu X, et al. Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection[J]. arXiv preprint arXiv:2205.10620, 2022. Link
Kosasih A, Onasis V, Miloslavskaya V, et al. Graph Neural Network Aided MU-MIMO Detectors[J]. arXiv preprint arXiv:2206.09381, 2022. Link Code
Azeez S. Graph-based Deep Learning for Spatial Reuse Optimization in Dense WLAN Deployments[J]. 2022. Link
Lima V, Eisen M, Gatsis K, et al. Graph Reinforcement Learning for Wireless Control Systems: Large-Scale Resource Allocation over Interference Channels[J]. arXiv preprint arXiv:2201.09859, 2022. Link

2021

Journal

Shen Y, Shi Y, Zhang J, et al. Graph neural networks for scalable radio resource management: Architecture design and theoretical analysis[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(1): 101-115. Link Code
Lee M, Yu G, Dai H. Decentralized Inference with Graph Neural Networks in Wireless Communication Systems[J]. IEEE Transactions on Mobile Computing, 2021. Link
Li N, Jia S, Li Q. Traffic Message Channel Prediction Based on Graph Convolutional Network[J]. IEEE Access, 2021, 9: 135423-135431. Link
Chowdhury A, Verma G, Rao C, et al. Unfolding wmmse using graph neural networks for efficient power allocation[J]. IEEE Transactions on Wireless Communications, 2021. Link Code
Zhang K, Zhao X, Li X, et al. Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology[J]. Wireless Communications and Mobile Computing, 2021, 2021. Link
Shao Y, Li R, Hu B, et al. Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network[J]. IEEE Transactions on Vehicular Technology, 2021, 70(10): 10792-10803. Link
Dong T, Zhuang Z, Qi Q, et al. Intelligent Joint Network Slicing and Routing via GCN-powered Multi-Task Deep Reinforcement Learning[J]. IEEE Transactions on Cognitive Communications and Networking, 2021. Link
Sun F, Wang P, Zhao J, et al. Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns[J]. IEEE Transactions on Mobile Computing, 2021. Link
Pan C, Zhu J, Kong Z, et al. DC-STGCN: Dual-Channel Based Graph Convolutional Networks for Network Traffic Forecasting[J]. Electronics, 2021, 10(9): 1014. Link
Wu Y, Dai H N, Tang H. Graph neural networks for anomaly detection in industrial internet of things[J]. IEEE Internet of Things Journal, 2021. Link
Chen T, Zhang X, You M, et al. A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks[J]. IEEE Internet of Things Journal, 2021, 9(3): 1712-1724. Link
Chen G, Wu J, Yang W, et al. Leveraging Graph Convolutional-LSTM for Energy Efficient Caching in Blockchain-based Green IoT[J]. IEEE Transactions on Green Communications and Networking, 2021. Link
Tang M, Cai S, Lau V K N. Over-the-Air-Aggregation with Multiple Shared Channels and Graph-based State Estimation for Industrial IoT Systems[J]. IEEE Internet of Things Journal, 2021. Link
Hu Z, Liu L, Yu H, et al. Using Graph Representation in Host-Based Intrusion Detection[J]. Security and Communication Networks, 2021, 2021. Link
Cheng Q, Wu C, Zhou S. Discovering Attack Scenarios via Intrusion Alert Correlation using Graph Convolutional Networks[J]. IEEE Communications Letters, 2021. Link
Soto P, Camelo M, Mets K, et al. ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs[J]. Sensors, 2021, 21(13): 4321. Link Data
Shen M, Zhang J, Zhu L, et al. Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks[J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 2367-2380. Link
Li B, Zhu Z. GNN-based Hierarchical Deep Reinforcement Learning for NFV-Oriented Online Resource Orchestration in Elastic Optical DCIs[J]. Journal of Lightwave Technology, 2021. Link
Tian X, Li B, Gu R, et al. Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning[J]. Journal of Optical Communications and Networking, 2021, 13(11): 253-265. Link
Cao Y, Jiang H, Deng Y, et al. Detecting and Mitigating DDoS Attacks in SDN Using Spatial-Temporal Graph Convolutional Network[J]. IEEE Transactions on Dependable and Secure Computing, 2021. Link
Swaminathan A, Chaba M, Sharma D K, et al. GraphNET: Graph Neural Networks for routing optimization in Software Defined Networks[J]. Computer Communications, 2021, 178: 169-182. Link
Park M, Lee Y, Yeom I, et al. Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications[J]. IEEE Access, 2021, 9: 105463-105476. Link
Xie Y, Huang L, Kong Y, et al. Virtualized Network Function Forwarding Graph Placing in sdn and nfv-Enabled iot Networks: A Graph Neural Network Assisted Deep Reinforcement Learning Method[J]. IEEE Transactions on Network and Service Management, 2021. Link
Zhang P, Wang C, Kumar N, et al. Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning[J]. IEEE Internet of Things Journal, 2021. Link
Kim H G, Park S, Lange S, et al. Graph neural network‐based virtual network function deployment optimization[J]. International Journal of Network Management, 2021: e2164. Link
Tang M, Cai S, Lau V K N. Over-the-air aggregation with multiple shared channels and graph-based state estimation for industrial IoT systems[J]. IEEE Internet of Things Journal, 2021, 8(19): 14638-14657. Link
Jiang T, Cheng H V, Yu W. Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(7): 1931-1945. Link Code
Lv S, Yi F, He P, et al. QoS Prediction of Web Services Based on a Two-Level Heterogeneous Graph Attention Network[J]. IEEE Access, 2021, 10: 1871-1880. Link
Guan L, Zhang M, Gui Y, et al. AI-assisted intent-based traffic grooming in a dynamically shared 5g optical fronthaul network[J]. Optics Express, 2021, 29(15): 23113-23130. Link
Xu X, Chen Q, Mu X, et al. Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks[J]. IEEE Journal on Selected Areas in Communications, 2021, 40(1): 259-275. Link
Lee H, Lee S H, Quek T Q S. Learning Autonomy in Management of Wireless Random Networks[J]. IEEE Transactions on Wireless Communications, 2021. Link
Leng L, Li J, Shi H, et al. Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing[J]. Multimedia Tools and Applications, 2021, 80(19): 29163-29175. Link
Mai T L, Navet N. Deep learning to predict the feasibility of priority-based Ethernet network configurations[J]. ACM Transactions on Cyber-Physical Systems (TCPS), 2021, 5(4): 1-26. Link
Chen J, Wu Z. Dynamic computation offloading with energy harvesting devices: a graph-based deep reinforcement learning approach[J]. IEEE Communications Letters, 2021, 25(9): 2968-2972. Link
Singh A, Sharma S, Gumaste A, et al. Grafnet: Using Graph Neural Networks to Create Table-Less Routers[J]. IEEE Transactions on Network Science and Engineering, 2021. Link
Tekbıyık K, Yurduseven O, Kurt G K. Graph Attention Network-Based Single-Pixel Compressive Direction of Arrival Estimation[J]. IEEE Communications Letters, 2021. Link

Conference

Nagaraj K, Starke A, McNair J. Glass: a graph learning approach for software defined network based smart grid ddos security[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link
Li B, Verma G, Rao C, et al. Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks[C]//2021 55th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2021: 732-736. Link
Chowdhury A, Verma G, Rao C, et al. Efficient power allocation using graph neural networks and deep algorithm unfolding[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4725-4729. Link Code
Shen Y, Zhang J, Song S H, et al. AI Empowered Resource Management for Future Wireless Networks[C]. Meditcom 2021. Link
Tekbıyık K, Kurt G K, Huang C, et al. Channel Estimation for Full-Duplex RIS-assisted HAPS Backhauling with Graph Attention Networks[C]. ICC 2021-2021 IEEE International Conference on Communications. IEEE, 2021. Link
Shao Y, Li R, Zhao Z, et al. Graph Attention Network-based DRL for Network Slicing Management in Dense Cellular Networks[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Guo J, Yang C. Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Hou K, Xu Q, Zhang X, et al. User Association and Power Allocation Based on Unsupervised Graph Model in Ultra-Dense Network[C]//2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021: 1-6. Link
Rkhami A, Hadjadj-Aoul Y, Outtagarts A. Learn to improve: A novel deep reinforcement learning approach for beyond 5G network slicing[C]//2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2021: 1-6. Link
Chen T, You M, Zheng G, et al. Graph Neural Network Based Beamforming in D2D Wireless Networks[C]. The 25th International ITG Workshop on Smart Antennas (WSA), Nov. 2021, EURECOM, French Riviera. Link
Zhang X, Zhao H, Xiong J, et al. Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks[C]//GLOBECOM 2021-2021 IEEE Global Communications Conference. IEEE, 2021. Link
Zhao Z, Verma G, Rao C, et al. Distributed scheduling using graph neural networks[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 4720-4724. Link Code
Sambamoorthy R, Mandalapu J, Peruru S S, et al. Graph Neural Network Based Scheduling: Improved Throughput Under a Generalized Interference Model[C]//EAI International Conference on Performance Evaluation Methodologies and Tools. Springer, Cham, 2021: 144-153. Link
Yanyan Z, Zeyu L, Baocong W. Graph convolution network deep reinforcement learning approach based on manifold regularization in cognitive radio network[C]//2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021: 1275-1280. Link
Wang H, Ran Y, Zhao L, et al. GRouting: Dynamic Routing for LEO Satellite Networks with Graph-based Deep Reinforcement Learning[C]//2021 4th International Conference on Hot Information-Centric Networking (HotICN). IEEE, 2021: 123-128. Link
Liu J, Xiao Y, Li Y, et al. Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks[C]. ICC 2021-2021 IEEE International Conference on Communications (ICC). IEEE, 2021. Link
Zheng H, Ding X, Wang Y, et al. Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load Forecasting[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2021: 99-114. Link
Yang Y, Wang L. LGANet: Local Graph Attention Network for Peer-to-Peer Botnet Detection[C]//2021 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC). IEEE, 2021: 31-36. Link
Huoh T L, Luo Y, Zhang T. Encrypted Network Traffic Classification Using a Geometric Learning Model[C]//2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2021: 376-383. Link
Busch J, Kocheturov A, Tresp V, et al. NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification[C]. 33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021), 2021. Link
Pham T D, Ho T L, Truong-Huu T, et al. MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks[C]//Annual Computer Security Applications Conference. 2021: 1025-1038. Link Code and Data
Mai T L, Navet N. Improvements to Deep-Learning-based Feasibility Prediction of Switched Ethernet Network Configurations[C]//The 29th International Conference on Real-Time Networks and Systems (RTNS2021). 2021. Link
Kong Y, Petrov D, Räisänen V, et al. Path-Link Graph Neural Network for IP Network Performance Prediction[C]//2021 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2021: 170-177. Link
Qin L, Wei W, Ma Y. FlowDiviner: Spatio-Temporal Network Traffic Prediction Method Based on Graph Neural Network[C]. 5th Asia-Pacific Workshop on Networking (APNet 2021). Link
Yao Z, Xu Q, Chen Y, et al. Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks[C]//2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021: 1-8. Link
Zhang K, Xu X, Fu C, et al. Modeling Data Center Networks with Message Passing Neural Network and Multi-task Learning[C]//International Conference on Neural Computing for Advanced Applications. Springer, Singapore, 2021: 96-112. Link
Bao B, Yang H, Wan Y, et al. Node-Oriented Traffic Prediction and Scheduling Based on Graph Convolutional Network in Metro Optical Networks[C]//Optical Fiber Communication Conference. Optical Society of America, 2021: F2G. 2. Link
Wang C, Yoshikane N, Tsuritani T. Usage of a Graph Neural Network for Large-Scale Network Performance Evaluation[C]//2021 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2021: 1-5. Link
Khan T A, Abbas K, Rivera J J D, et al. Applying RouteNet and LSTM to Achieve Network Automation: An Intent-based Networking Approach[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 254-257. Link
Siyu Q I, Shuopeng L I, Shaofu L I N, et al. Energy-Efficient VNF Deployment for Graph-Structured SFC Based on Graph Neural Network and Constrained Deep Reinforcement Learning[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 348-353. Link
Wang T, Fan Q, Li X, et al. Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link Code
Yang Z, Gu R, Ji Y. Virtual Network Function Placement Based on Differentiated Weight Graph Convolutional Neural Network and Maximal Weight Matching[C]//2021 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2021: 1-7. Link
Yeom S, Choi C, Kolekar S S, et al. Graph Convolutional Network based Link State Prediction[C]//2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2021: 246-249. Link
Cui T, Gou G, Xiong G, et al. SIAMHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network[C]//30th USENIX Security Symposium (USENIX Security 21). 2021: 4329-4346. Link
Liu T, Li P, Gu Y. Glint: Decentralized Federated Graph Learning with Traffic Throttling and Flow Scheduling[C]//2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS). IEEE, 2021: 1-10. Link
Ranasinghe V, Rajatheva N, Latva-aho M. Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems[C]. 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021: 01-06. Link
Pujol-Perich D, Suárez-Varela J, Xiao S, et al. NetXplain: Real-Time Explainability of Graph Neural Networks Applied to Computer Networks[C]. GNNSys workshop, 2021. Link
Zhu H, Gupta V, Ahuja S S, et al. Network planning with deep reinforcement learning[C]//Proceedings of the 2021 ACM SIGCOMM 2021 Conference. 2021: 258-271. Link Code
Bernárdez G, Suárez-Varela J, López A, et al. Is Machine Learning Ready for Traffic Engineering Optimization?[C]. IEEE ICNP 2021. Link
Li L, Jiang H, He H. Graph-based Multi-view Learning for Cooperative Spectrum Sensing[C]//2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021: 1-7. Link
Orhan O, Swamy V N, Tetzlaff T, et al. Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach[C]. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2021: 936-941. Link
Ren X, Zhang W, Bao L, et al. Deepqsc: A gnn and attention mechanism-based framework for qos-aware service composition[C]//2021 International Conference on Service Science (ICSS). IEEE, 2021: 76-83. Link
Le T T, Le Nguyen P, Binh H T T, et al. GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network[C]//ICC 2021-IEEE International Conference on Communications. IEEE, 2021: 1-6. Link Code
Poularakis K, Qin Q, Le F, et al. Generalizable and Interpretable Deep Learning for Network Congestion Prediction[C]. IEEE International Conference on Network Protocols (ICNP), 2021. Link
Park J, Choi B, Lee C, et al. GRAF: a graph neural network based proactive resource allocation framework for SLO-oriented microservices[C]//Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies. 2021: 154-167. Link
Nikoloska I, Simeone O. Fast power control adaptation via meta-learning for random edge graph neural networks[C]//2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2021: 146-150. Link Code (Empty)
Mai X, Fu Q, Chen Y. Packet routing with graph attention multi-agent reinforcement learning[C]//2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021: 1-6. Link

Preprint

Nikoloska I, Simeone O. Black-box and modular meta-learning for power control via random edge graph neural networks[J]. arXiv preprint arXiv:2108.13178, 2021. Link
Zhang X, Zhang Z, Yang L. Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning[J]. arXiv preprint arXiv:2103.15367, 2021. Link
He S, Yuan J, An Z, et al. Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems[J]. arXiv preprint arXiv:2112.01738, 2021. Link
Naderializadeh N. Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels[J]. arXiv preprint arXiv:2110.01722, 2021. Link Code
Tekbıyık K, Kurt G K, Ekti A R, et al. Graph Attention Networks for Channel Estimation in RIS-assisted Satellite IoT Communications[J]. arXiv preprint arXiv:2104.00735, 2021. Link
Chang L, Branco P. Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms[J]. arXiv preprint arXiv:2111.13597, 2021. Link
Liu M, Li J, Lu H. Routing in Small Satellite Networks: A GNN-based Learning Approach[J]. arXiv preprint arXiv:2108.08523, 2021. Link
Pang B, Fu Y, Ren S, et al. CGNN: Traffic Classification with Graph Neural Network[J]. arXiv preprint arXiv:2110.09726, 2021. Link
Shabka Z, Zervas G. Nara: Learning Network-Aware Resource Allocation Algorithms for Cloud Data Centres[J]. arXiv preprint arXiv:2106.02412, 2021. Link
Ding S, Zhang F, Luo X, et al. GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation Framework[J]. arXiv preprint arXiv:2112.10767, 2021. Link
Lv M, Dong C, Chen T, et al. A Heterogeneous Graph Learning Model for Cyber-Attack Detection[J]. arXiv preprint arXiv:2112.08986, 2021. Link
Shen Y, Zhang J, Letaief K B. How Neural Architectures Affect Deep Learning for Communication Networks?[J]. arXiv preprint arXiv:2111.02215, 2021. Link

2020

Journal

Yang Y, Zhang S, Gao F, et al. Graph Neural Network-Based Channel Tracking for Massive MIMO Networks[J]. IEEE Communications Letters, 2020, 24(8): 1747-1751. Link
Nakashima K, Kamiya S, Ohtsu K, et al. Deep reinforcement learning-based channel allocation for wireless lans with graph convolutional networks[J]. IEEE Access, 2020, 8: 31823-31834. Link
Eisen M, Ribeiro A. Optimal wireless resource allocation with random edge graph neural networks[J]. IEEE Transactions on Signal Processing, 2020, 68: 2977-2991. Link
Naderializadeh N, Eisen M, Ribeiro A. Wireless power control via counterfactual optimization of graph neural networks[C]//2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2020: 1-5. Link
Simsek M, Orhan O, Nassar M, et al. IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach[J]. IEEE Communications Letters, 2020. Link
Wang H, Wu Y, Min G, et al. A Graph Neural Network-based Digital Twin for Network Slicing Management[J]. IEEE Transactions on Industrial Informatics, 2020. Link
Zhu T, Chen X, Chen L, et al. GCLR: GNN-Based Cross Layer Optimization for Multipath TCP by Routing[J]. IEEE Access, 2020, 8: 17060-17070. Link
He K, Chen X, Wu Q, et al. Graph Attention Spatial-Temporal Network with Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction[J]. IEEE Transactions on Mobile Computing, 2020. Link
Zhao D, Qin H, Song B, et al. A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network[J]. Sensors, 2020, 20(18): 5216. Link
Yan Y, Zhang B, Li C, et al. Cooperative Caching and Fetching in D2D Communications-A Fully Decentralized Multi-Agent Reinforcement Learning Approach[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 16095-16109. Link
Lee M, Yu G, Li G Y. Graph embedding based wireless link scheduling with few training samples[J]. IEEE Transactions on Wireless Communications, 2020. Link
Liu Y, Lu Y, Li X, et al. On dynamic service function chain reconfiguration in IoT networks[J]. IEEE Internet of Things Journal, 2020, 7(11): 10969-10984. Link
Geyer F, Bondorf S. Graph-based Deep Learning for Fast and Tight Network Calculus Analyses[J]. IEEE Transactions on Network Science and Engineering, 2020. Link
Zhao J, Qu H, Zhao J, et al. Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction[J]. Transactions on Emerging Telecommunications Technologies, 2020, 31(11): e4056. Link
Li J, Sun P, Hu Y. Traffic modeling and optimization in datacenters with graph neural network[J]. Computer Networks, 2020, 181: 107528. Link
Rusek K, Suárez-Varela J, Almasan P, et al. RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(10): 2260-2270. Link
Sun P, Lan J, Li J, et al. Efficient flow migration for NFV with Graph-aware deep reinforcement learning[J]. Computer Networks, 2020, 183: 107575. Link
Yan Z, Ge J, Wu Y, et al. Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(6): 1040-1057. Link
Sun P, Lan J, Li J, et al. Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement[J]. IEEE Communications Letters, 2020. Link
Do Xuan C, Dao M H, Nguyen H D. APT attack detection based on flow network analysis techniques using deep learning[J]. Journal of Intelligent & Fuzzy Systems, 2020, 39(3): 4785-4801. Link

Conference

Eisen M, Ribeiro A. Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks[C]//ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020: 5040-5044. Link
Zhao S, Jiang X, Jacobson G, et al. Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach[C]//2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2020: 1-9. Link
Rkhami A, Pham T A Q, Hadjadj-Aoul Y, et al. On the Use of Graph Neural Networks for Virtual Network Embedding[C]//2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2020: 1-6. Link
Lee M, Yu G, Li G Y. Wireless Link Scheduling for D2D Communications with Graph Embedding Technique[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Fu J, Ma N, Ye M, et al. Wireless D2D Network Link Scheduling based on Graph Embedding[C]//2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). IEEE, 1-5. Link
Yang L, Gu X, Shi H. A Noval Satellite Network Traffic Prediction Method Based on GCN-GRU[C]//2020 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2020: 718-723. Link
He Z, Wang L, Ye H, et al. Resource Allocation based on Graph Neural Networks in Vehicular Communications[C]//GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020: 1-5. Link Code
Bahnasy M, Li F, Xiao S, et al. DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis[C]//Proceedings of the Workshop on Network Meets AI & ML. 2020: 48-55. Link
Zhou J, Xu Z, Rush A M, et al. Automating Botnet Detection with Graph Neural Networks[C]. AutoML for Networking and Systems Workshop of MLSys 2020 Conference. Link Data
Suzuki T, Yasuda Y, Nakamura R, et al. On Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning[C]//2020 International Conference on Information Networking (ICOIN). IEEE, 2020: 481-486. Link
Mo S, Wang Y, Xiao D, et al. Encrypted Traffic Classification Using Graph Convolutional Networks[C]//International Conference on Advanced Data Mining and Applications. Springer, Cham, 2020: 207-219. Link
Sun B, Yang W, Yan M, et al. An encrypted traffic classification method combining graph convolutional network and autoencoder[C]//2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC). IEEE, 2020: 1-8. Link
Geyer F, Bondorf S. On the robustness of deep learning-predicted contention models for network calculus[C]//2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020: 1-7. Link
Xiao S, Mao H, Wu B, et al. Neural Packet Routing[C]//Proceedings of the Workshop on Network Meets AI & ML. 2020: 28-34. Link
Yang C, Zhou Z, Wen H, et al. MSTNN: A graph learning based method for the origin-destination traffic prediction[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Vinchoff C, Chung N, Gordon T, et al. Traffic Prediction in Optical Networks Using Graph Convolutional Generative Adversarial Networks[C]//2020 22nd International Conference on Transparent Optical Networks (ICTON). IEEE, 2020: 1-4. Link
Gui Y, Wang D, Guan L, et al. Optical Network Traffic Prediction Based on Graph Convolutional Neural Networks[C]//2020 Opto-Electronics and Communications Conference (OECC). IEEE, 2020: 1-3. Link
Sawada K, Kotani D, Okabe Y. Network Routing Optimization Based on Machine Learning Using Graph Networks Robust against Topology Change[C]//2020 International Conference on Information Networking (ICOIN). IEEE, 2020: 608-615. Link
Heo D N, Lange S, Kim H G, et al. Graph Neural Network based Service Function Chaining for Automatic Network Control[C]//2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2020: 7-12. Link
Rafiq A, Khan T A, Afaq M, et al. Service Function Chaining and Traffic Steering in SDN using Graph Neural Network[C]//2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2020: 500-505. Link
Sun P, Lan J, Guo Z, et al. DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning[C]//ICC 2020-2020 IEEE International Conference on Communications (ICC). IEEE, 2020: 1-6. Link
Habibi F, Dolati M, Khonsari A, et al. Accelerating Virtual Network Embedding with Graph Neural Networks[C]//2020 16th International Conference on Network and Service Management (CNSM). IEEE, 2020: 1-9. Link
Kim H G, Park S, Heo D, et al. Graph Neural Network-based Virtual Network Function Deployment Prediction[C]//2020 16th International Conference on Network and Service Management (CNSM). IEEE, 2020: 1-7. Link
Kim H G, Park S, Lange S, et al. Graph neural network-based virtual network function management[C]//2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2020: 13-18. Link
Scotti A, Moghadam N N, Liu D, et al. Graph Neural Networks for Massive MIMO Detection[C]. ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+), 2020. Link
Mallick T, Kiran M, Mohammed B, et al. Dynamic graph neural network for traffic forecasting in wide area networks[C]//2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020: 1-10. Link
Gao Z, Eisen M, Ribeiro A. Resource allocation via graph neural networks in free space optical fronthaul networks[C]//GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020: 1-6. Link

Preprint

Ferriol-Galmés M, Suárez-Varela J, Barlet-Ros P, et al. Applying Graph-based Deep Learning To Realistic Network Scenarios[J]. arXiv preprint arXiv:2010.06686, 2020. Link
Dong J, Chen S, Ha P Y J, et al. A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network[J]. arXiv preprint arXiv:2010.05437, 2020. Link

2019

Journal

Fang L, Cheng X, Wang H, et al. Idle time window prediction in cellular networks with deep spatiotemporal modeling[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(6): 1441-1454. Link
Geyer F. DeepComNet: Performance evaluation of network topologies using graph-based deep learning[J]. Performance Evaluation, 2019, 130: 1-16. Link
Zhuang Z, Wang J, Qi Q, et al. Toward greater intelligence in route planning: A graph-aware deep learning approach[J]. IEEE Systems Journal, 2019, 14(2): 1658-1669. Link

Conference

Eisen M, Ribeiro A. Large scale wireless power allocation with graph neural networks[C]//2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2019: 1-5. Link
Shen Y, Shi Y, Zhang J, et al. A graph neural network approach for scalable wireless power control[C]//2019 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019: 1-6. Link Code
He K, Huang Y, Chen X, et al. Graph attention spatial-temporal network for deep learning based mobile traffic prediction[C]//2019 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019: 1-6. Link
Geyer F, Schmid S. DeepMPLS: fast analysis of MPLS configurations using deep learning[C]//2019 IFIP Networking Conference (IFIP Networking). IEEE, 2019: 1-9. Link
Geyer F, Bondorf S. DeepTMA: Predicting effective contention models for network calculus using graph neural networks[C]//IEEE INFOCOM 2019-IEEE Conference on Computer Communications. IEEE, 2019: 1009-1017. Link
Suárez-Varela J, Carol-Bosch S, Rusek K, et al. Challenging the generalization capabilities of Graph Neural Networks for network modeling[C]//Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos. 2019: 114-115. Link
Badia-Sampera A, Suárez-Varela J, Almasan P, et al. Towards more realistic network models based on Graph Neural Networks[C]//Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies. 2019: 14-16. Link
Rusek K, Suárez-Varela J, Mestres A, et al. Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN[C]//Proceedings of the 2019 ACM Symposium on SDN Research. 2019: 140-151. Link
Jalodia N, Henna S, Davy A. Deep Reinforcement Learning for Topology-Aware VNF Resource Prediction in NFV Environments[C]//2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, 2019: 1-5. Link

2018

Journal

Rusek K, Chołda P. Message-passing neural networks learn little’s law[J]. IEEE Communications Letters, 2018, 23(2): 274-277. Link

2017

Journal

Mijumbi R, Hasija S, Davy S, et al. Topology-aware prediction of virtual network function resource requirements[J]. IEEE Transactions on Network and Service Management, 2017, 14(1): 106-120. Link

2016

Conference

Mijumbi R, Hasija S, Davy S, et al. A connectionist approach to dynamic resource management for virtualised network functions[C]//2016 12th International Conference on Network and Service Management (CNSM). IEEE, 2016: 1-9. Link

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