Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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Updated
Dec 11, 2023 - Python
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heterogeneous-graph-learning
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[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
collaborative-filtering recommendation graph-neural-networks self-supervised-learning heterogeneous-graph-learning graph-contrastive-learning
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Nov 4, 2024 - Python
MANDO-HGT is a framework for detecting smart contract vulnerabilities. Given either in source code or bytecode forms, MANDO-HGT adapts heterogeneous graph transformers with customized meta relations for graph nodes and edges to learn their embeddings and train classifiers for detecting various vulnerability types in the contracts' nodes and graphs.
machine-learning bytecode deep-learning smart-contracts pytorch source-code vulnerability-detection graph-transformer heterogeneous-graph-learning
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Mar 7, 2024 - Solidity
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
graph-algorithms graph-representation-learning relation-learning heterogeneous-graph-learning heterophily-graph
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Updated
Feb 27, 2024 - Python
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