{"payload":{"header_redesign_enabled":false,"results":[{"id":"833432218","archived":false,"color":"#3572A5","followers":5,"has_funding_file":false,"hl_name":"wangxiaotang0906/UniGAP","hl_trunc_description":"The codings of paper 'UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks'","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":833432218,"name":"UniGAP","owner_id":66115205,"owner_login":"wangxiaotang0906","updated_at":"2024-08-05T13:21:00.713Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":74,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Awangxiaotang0906%252FUniGAP%2B%2Blanguage%253APython","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/wangxiaotang0906/UniGAP/star":{"post":"9d6zAZCvIupP8oKb0QSCaGGzUTK0JaEQOsKACoTFaiJ1aw4vMEyr7Q3j1nKlwyegLbjhFND_-OYKLdNIk2xY8Q"},"/wangxiaotang0906/UniGAP/unstar":{"post":"yY8EUiD_YJe_EYIsFmKys2TJ6POAr9YxwL4tHWjVJ8XjmlJ7e7pvdV4naLV-sQ5CEG8MkHTcNT1JdyxCHR9VWw"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"5tr8zS7-DC6H5w8GY1n7-8iTtFdU6pVTPHClW35oJ76up5rstqYaaNW98cmhJ2bhj3OU4yulBW4CtFLBFVdZLA"}}},"title":"Repository search results"}