heterogeneous-graph-learning

There are 0 repository under heterogeneous-graph-learning topic.

PaddlePaddle / PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
graph graph-learning graph-neural-network heterogeneous-graph-learning metapath
Language:Python 1558
HKUDS / HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
graph-contrastive-learning recommendation self-supervised-learning graph-neural-networks heterogeneous-graph-learning collaborative-filtering
Language:Python 72
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.
bytecode deep-learning graph-transformer heterogeneous-graph-learning machine-learning pytorch smart-contracts source-code vulnerability-detection
Language:Solidity 11
LirongWu / RFA-GNN
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
graph-algorithms graph-representation-learning heterogeneous-graph-learning relation-learning heterophily-graph
Language:Python 10

PaddlePaddle / PGL