Ecosyste.ms: Repos

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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: 5 days ago - Pushed: 5 months ago - Stars: 1,560 - Forks: 310

HKUDS/HGCL

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

Language: Python - Size: 33.7 MB - Last synced: 25 days ago - Pushed: 12 months ago - Stars: 73 - Forks: 10

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: 3 months ago - Pushed: 3 months ago - Stars: 10 - Forks: 5

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: 3 months ago - Pushed: 3 months ago - Stars: 9 - Forks: 0

Related Keywords
heterogeneous-graph-learning 4 relation-learning 1 heterophily-graph 1 graph-representation-learning 1 graph-algorithms 1 vulnerability-detection 1 source-code 1 smart-contracts 1 pytorch 1 machine-learning 1 graph-transformer 1 deep-learning 1 bytecode 1 self-supervised-learning 1 recommendation 1 graph-neural-networks 1 graph-contrastive-learning 1 collaborative-filtering 1 metapath 1 graph-neural-network 1 graph-learning 1 graph 1