{"id":13444121,"url":"https://github.com/tkipf/pygcn","last_synced_at":"2025-04-13T01:59:47.801Z","repository":{"id":37664246,"uuid":"108454049","full_name":"tkipf/pygcn","owner":"tkipf","description":"Graph Convolutional Networks in PyTorch","archived":false,"fork":false,"pushed_at":"2020-09-20T18:24:56.000Z","size":225,"stargazers_count":5285,"open_issues_count":54,"forks_count":1228,"subscribers_count":55,"default_branch":"master","last_synced_at":"2025-04-13T01:59:42.924Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/tkipf.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-10-26T19:05:04.000Z","updated_at":"2025-04-11T07:54:43.000Z","dependencies_parsed_at":"2022-07-12T16:42:36.963Z","dependency_job_id":null,"html_url":"https://github.com/tkipf/pygcn","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/tkipf%2Fpygcn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tkipf%2Fpygcn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tkipf%2Fpygcn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tkipf%2Fpygcn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tkipf","download_url":"https://codeload.github.com/tkipf/pygcn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248654046,"owners_count":21140235,"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":[],"created_at":"2024-07-31T03:02:19.614Z","updated_at":"2025-04-13T01:59:47.778Z","avatar_url":"https://github.com/tkipf.png","language":"Python","readme":"Graph Convolutional Networks in PyTorch\n====\n\nPyTorch implementation of Graph Convolutional Networks (GCNs) for semi-supervised classification [1].\n\nFor a high-level introduction to GCNs, see:\n\nThomas Kipf, [Graph Convolutional Networks](http://tkipf.github.io/graph-convolutional-networks/) (2016)\n\n![Graph Convolutional Networks](figure.png)\n\nNote: There are subtle differences between the TensorFlow implementation in https://github.com/tkipf/gcn and this PyTorch re-implementation. This re-implementation serves as a proof of concept and is not intended for reproduction of the results reported in [1].\n\nThis implementation makes use of the Cora dataset from [2].\n\n## Installation\n\n```python setup.py install```\n\n## Requirements\n\n  * PyTorch 0.4 or 0.5\n  * Python 2.7 or 3.6\n\n## Usage\n\n```python train.py```\n\n## References\n\n[1] [Kipf \u0026 Welling, Semi-Supervised Classification with Graph Convolutional Networks, 2016](https://arxiv.org/abs/1609.02907)\n\n[2] [Sen et al., Collective Classification in Network Data, AI Magazine 2008](http://linqs.cs.umd.edu/projects/projects/lbc/)\n\n## Cite\n\nPlease cite our paper if you use this code in your own work:\n\n```\n@article{kipf2016semi,\n  title={Semi-Supervised Classification with Graph Convolutional Networks},\n  author={Kipf, Thomas N and Welling, Max},\n  journal={arXiv preprint arXiv:1609.02907},\n  year={2016}\n}\n```\n","funding_links":[],"categories":["Python","图卷积网络","Paper implementations｜论文实现","Paper implementations"],"sub_categories":["网络服务_其他","Other libraries｜其他库:","Other libraries:"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftkipf%2Fpygcn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftkipf%2Fpygcn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftkipf%2Fpygcn/lists"}