Paddle图形学习(PGL)是一个基于PaddlePaddle的高效灵活的图形学习框架
heterogeneous-graph-learning 开源项目推荐(5 个)
heterogeneous-graph-learning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 5
GitHub 共 5 个仓库,已全部展示[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
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.
A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models
Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 5 个项目;原始页面见 https://github.com/topics/heterogeneous-graph-learning。
- 该话题在 GitHub 上共有 5 个仓库, 本站收录的是其中最热门的 5 个,不是全量列表。
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- 当前 5 个项目累计 1763 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
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