{"id":13958787,"url":"https://github.com/mims-harvard/GNNGuard","last_synced_at":"2025-07-21T00:32:15.241Z","repository":{"id":37623362,"uuid":"241465173","full_name":"mims-harvard/GNNGuard","owner":"mims-harvard","description":"Defending graph neural networks against adversarial attacks (NeurIPS 2020)","archived":false,"fork":false,"pushed_at":"2023-07-06T22:00:39.000Z","size":12557,"stargazers_count":59,"open_issues_count":6,"forks_count":15,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-11-28T02:35:25.626Z","etag":null,"topics":["adversarial-attacks","deep-learning","graph-convolutional-networks","graph-neural-networks","robust-learning"],"latest_commit_sha":null,"homepage":"https://zitniklab.hms.harvard.edu/projects/GNNGuard","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mims-harvard.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-02-18T20:54:08.000Z","updated_at":"2024-11-11T08:12:14.000Z","dependencies_parsed_at":"2024-11-28T02:42:52.605Z","dependency_job_id":null,"html_url":"https://github.com/mims-harvard/GNNGuard","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mims-harvard/GNNGuard","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FGNNGuard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FGNNGuard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FGNNGuard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FGNNGuard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mims-harvard","download_url":"https://codeload.github.com/mims-harvard/GNNGuard/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mims-harvard%2FGNNGuard/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266221305,"owners_count":23894966,"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":["adversarial-attacks","deep-learning","graph-convolutional-networks","graph-neural-networks","robust-learning"],"created_at":"2024-08-08T13:01:51.872Z","updated_at":"2025-07-21T00:32:10.191Z","avatar_url":"https://github.com/mims-harvard.png","language":"Python","funding_links":[],"categories":["图对抗攻击"],"sub_categories":["网络服务_其他"],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmims-harvard%2FGNNGuard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmims-harvard%2FGNNGuard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmims-harvard%2FGNNGuard/lists"}