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GitHub topics: 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: 29 days ago - Pushed at: over 1 year ago - Stars: 1,583 - Forks: 312

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 0

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: 2 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 3

HKUDS/HGCL

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

Language: Python - Size: 33.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 92 - Forks: 11

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 5