heterogeneous-graph-learning

There are 4 repositories under heterogeneous-graph-learning topic.

  • PaddlePaddle/PGL

    Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

    Language:Python1.6k27194311

  • HKUDS/HGCL

    [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

    Language:Python9041611

  • MANDO-Project/ge-sc-transformer

    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.

    Language:Solidity15237

  • LirongWu/RFA-GNN

    Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"

    Language:Python13222