A library for graph deep learning research
graph-neural-network 开源项目推荐(493 个)
graph-neural-network 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 前 20
按 Star 数排序展示前 20 个 · GitHub 共 493 个仓库《深入浅出图神经网络:GNN原理解析》配套代码
Paddle图形学习(PGL)是一个基于PaddlePaddle的高效灵活的图形学习框架
“胶囊图神经网络”(ICLR 2019)的PyTorch实现。
Heterogeneous Graph Neural Network
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Recipe for a General, Powerful, Scalable Graph Transformer
Neural Graph Collaborative Filtering, SIGIR2019
基于PyTorch和TorchDrug的深度学习库,用于药物配对评分。(KDD 2022)
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
A repository of pretty cool datasets that I collected for network science and machine learning research.
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
图神经网络整理
Deep and conventional community detection related papers, implementations, datasets, and tools.
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Representation-Learning-on-Heterogeneous-Graph
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
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 20 个项目;原始页面见 https://github.com/topics/graph-neural-network。
- 该话题在 GitHub 上共有 493 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.8 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。