{"id":16941876,"url":"https://github.com/shenweichen/graphneuralnetwork","last_synced_at":"2025-04-13T02:22:38.110Z","repository":{"id":38833081,"uuid":"202899509","full_name":"shenweichen/GraphNeuralNetwork","owner":"shenweichen","description":"Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.","archived":false,"fork":false,"pushed_at":"2023-01-11T02:48:19.000Z","size":5615,"stargazers_count":782,"open_issues_count":4,"forks_count":183,"subscribers_count":12,"default_branch":"master","last_synced_at":"2024-10-14T21:10:31.227Z","etag":null,"topics":["gat","gcn","gnn","graph-attention","graphsage"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shenweichen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-08-17T15:38:40.000Z","updated_at":"2024-09-19T03:01:04.000Z","dependencies_parsed_at":"2023-02-08T23:30:35.000Z","dependency_job_id":null,"html_url":"https://github.com/shenweichen/GraphNeuralNetwork","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FGraphNeuralNetwork","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FGraphNeuralNetwork/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FGraphNeuralNetwork/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FGraphNeuralNetwork/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shenweichen","download_url":"https://codeload.github.com/shenweichen/GraphNeuralNetwork/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248654898,"owners_count":21140384,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["gat","gcn","gnn","graph-attention","graphsage"],"created_at":"2024-10-13T21:10:32.219Z","updated_at":"2025-04-13T02:22:38.076Z","avatar_url":"https://github.com/shenweichen.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Graph Neural Network\n\n# Method\n\n\n|   Model   | Paper                                                                                                                      | Note                                                                                        |\n| :-------: | :------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------ |\n| GCN  | [ICLR 2017][Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/pdf/1609.02907) | [【Graph Neural Network】GCN：算法原理，实现和应用](https://zhuanlan.zhihu.com/p/78624225)  |\n| GraphSAGE  | [NIPS 2017][Inductive representation learning on large graphs](https://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf) | [【Graph Neural Network】GraphSAGE：算法原理，实现和应用](https://zhuanlan.zhihu.com/p/79637787)  |\n| GAT  | [ICLR 2018][Graph Attention Nerworks](https://arxiv.org/pdf/1710.10903.pdf) |  |\n\n# How to run examples\n1. clone the repo and use `pip install -r requirements.txt` to setup the operating environment with `python\u003e=3.6`.\n2. run following commands\n```bash\ncd gnn\npython run_gcn_cora.py\npython run_graphsage_cora.py\npython run_gat_cora.py\n```\n\n# DisscussionGroup\n|公众号：浅梦学习笔记|微信：deepctrbot|\n|:--:|:--:|\n| [![公众号](https://github.com/shenweichen/GraphEmbedding/blob/master/pics/code.png)](https://github.com/shenweichen/AlgoNotes)| [![微信](https://github.com/shenweichen/GraphEmbedding/blob/master/pics/deepctrbot.png)](https://github.com/shenweichen/AlgoNotes)|\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshenweichen%2Fgraphneuralnetwork","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshenweichen%2Fgraphneuralnetwork","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshenweichen%2Fgraphneuralnetwork/lists"}