Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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Updated
Dec 11, 2023 - Python
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heterogeneous-graph-learning
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[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
collaborative-filtering
recommendation
graph-neural-networks
self-supervised-learning
heterogeneous-graph-learning
graph-contrastive-learning
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Updated
May 26, 2023 - Python
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.
machine-learning
bytecode
deep-learning
smart-contracts
pytorch
source-code
vulnerability-detection
graph-transformer
heterogeneous-graph-learning
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Updated
Mar 7, 2024 - Solidity
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
graph-algorithms
graph-representation-learning
relation-learning
heterogeneous-graph-learning
heterophily-graph
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Updated
Feb 27, 2024 - Python
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