{"id":14286885,"url":"https://github.com/vikasverma1077/GraphMix","last_synced_at":"2025-08-15T07:31:31.363Z","repository":{"id":36285915,"uuid":"210898348","full_name":"vikasverma1077/GraphMix","owner":"vikasverma1077","description":"Code for reproducing results in GraphMix paper","archived":false,"fork":false,"pushed_at":"2022-11-22T03:16:17.000Z","size":8377,"stargazers_count":72,"open_issues_count":5,"forks_count":14,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-12-16T02:34:33.328Z","etag":null,"topics":["gcn","gnn","graphneuralnetwork","regularizer","semisupervised-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vikasverma1077.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":"2019-09-25T17:07:08.000Z","updated_at":"2024-10-05T07:58:32.000Z","dependencies_parsed_at":"2023-01-17T01:16:17.658Z","dependency_job_id":null,"html_url":"https://github.com/vikasverma1077/GraphMix","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vikasverma1077/GraphMix","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikasverma1077%2FGraphMix","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikasverma1077%2FGraphMix/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikasverma1077%2FGraphMix/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikasverma1077%2FGraphMix/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vikasverma1077","download_url":"https://codeload.github.com/vikasverma1077/GraphMix/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikasverma1077%2FGraphMix/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270539531,"owners_count":24603182,"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","status":"online","status_checked_at":"2025-08-15T02:00:12.559Z","response_time":110,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["gcn","gnn","graphneuralnetwork","regularizer","semisupervised-learning"],"created_at":"2024-08-23T17:01:05.938Z","updated_at":"2025-08-15T07:31:29.786Z","avatar_url":"https://github.com/vikasverma1077.png","language":"Python","readme":"# GraphMix\nThis is the Pytorch code for reproducing the results of the Paper GraphMix (https://arxiv.org/pdf/1909.11715.pdf). GraphMix is a simple and efficient regularization method for Graph Neural Networks (GNN) based Semi-Supervised node classification. We show that with this regularizer, even the simpler GNN architecture such as GCN (Kipf et. al.) can achiever state-of-the-art results on benchmark graph datasets such as Cora/Citeseer/Pubmed.\n\n## Requirements \nThis code is tested with Python 3.6.3 and requires following packages (see requirements.txt list of all the packages):\n\ntorch==1.1.0\n\nnumpy==1.16.3\n\npandas==0.24.1\n\nPillow==5.3.0\n\nscikit-learn==0.21.2\n\nscipy==1.2.1\n\nseaborn==0.9.0\n\nsix==1.12.0\n\ntqdm==4.32.2\n\n\n# How to run \n\nFor reproducing results of GraphMix(GCN) of Table1 in the paper, go to directory GraphMix/semisupervised/codes and run the following commands:\n\n`python run_cora.py`\n\n`python run_citeseer.py`\n\n`python run_pubmed.py`\n\n\nThis codebase is based on the github repo : https://github.com/DeepGraphLearning/GMNN\n\nTo all the people using this codebase: let us know in the \"issues\" if you are having some difficulity in reproducing the results. \n\n\n","funding_links":[],"categories":["Beyond Vision"],"sub_categories":["**GNN**"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvikasverma1077%2FGraphMix","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvikasverma1077%2FGraphMix","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvikasverma1077%2FGraphMix/lists"}