[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
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Updated
Sep 15, 2024 - Jupyter Notebook
[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
Papers on Graph Pooling for GNN and their bioinformatics application
Self-Attention Graph Pooling [ICML-2019]
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
Code and dataset to test empirically the expressive power of graph pooling operators.
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…
A repo for baseline of graph pooling.
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
Software implementation of Pyramidal Reservoir Graph Neural Networks
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Using Graph Attention NN for image embedding and classification
Hierarchical Graph Pooling with Structure Learning
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