Topic: "heterogeneous-graph-learning"
PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Language: Python - Size: 28.3 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 1,580 - Forks: 312
HKUDS/HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Language: Python - Size: 33.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 92 - Forks: 11
LirongWu/RFA-GNN
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
Language: Python - Size: 20.5 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 3
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: Solidity - Size: 1.93 GB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 5
HUBioDataLab/ProtHGT
A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models
Language: Python - Size: 11.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0
