{"id":16509900,"url":"https://github.com/papachristoumarios/core-periphery-hypergraphs","last_synced_at":"2026-04-11T17:03:14.601Z","repository":{"id":67394529,"uuid":"383609858","full_name":"papachristoumarios/core-periphery-hypergraphs","owner":"papachristoumarios","description":"[KDD 2022] Official Code Release for \"Core-periphery Models for Hypergraphs\"","archived":false,"fork":false,"pushed_at":"2022-05-23T22:14:41.000Z","size":2239,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-27T07:49:42.313Z","etag":null,"topics":["core-periphery","data-mining","hypergraph","inference","machine-learning","random-graphs","sampling"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":false,"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/papachristoumarios.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-07-06T22:14:37.000Z","updated_at":"2024-04-28T05:05:53.000Z","dependencies_parsed_at":"2023-02-23T16:01:15.425Z","dependency_job_id":null,"html_url":"https://github.com/papachristoumarios/core-periphery-hypergraphs","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/papachristoumarios/core-periphery-hypergraphs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/papachristoumarios%2Fcore-periphery-hypergraphs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/papachristoumarios%2Fcore-periphery-hypergraphs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/papachristoumarios%2Fcore-periphery-hypergraphs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/papachristoumarios%2Fcore-periphery-hypergraphs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/papachristoumarios","download_url":"https://codeload.github.com/papachristoumarios/core-periphery-hypergraphs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/papachristoumarios%2Fcore-periphery-hypergraphs/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31670956,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-10T17:19:37.612Z","status":"online","status_checked_at":"2026-04-11T02:00:05.776Z","response_time":54,"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":["core-periphery","data-mining","hypergraph","inference","machine-learning","random-graphs","sampling"],"created_at":"2024-10-11T15:53:05.326Z","updated_at":"2026-04-11T17:03:14.584Z","avatar_url":"https://github.com/papachristoumarios.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Supplementary code for \"Core-periphery Models for Hypergraphs\"\n\n## Setup \n\nInstall required packages with\n\n```bash\npip install -r requirements.txt\n```\n\nDownload [data](https://doi.org/10.5281/zenodo.5943043) from Zenodo and set the `DATA_ROOT` variable in `base.py` to point at the data.\n\nThe options for running the goodness-of-fit experiments can be found with\n\n```bash\npython goodness_of_fit.py --help\n```\n\n## Examples\n\n```bash\npython goodness_of_fit.py --name threads-math-sx-filtered --learnable_ranks --pipeline cigam -H 0.5,1 --order_max 2 --k_core 2\n```\n\n## Zenodo Links\n\n * [Datasets](https://doi.org/10.5281/zenodo.5943043)\n * [Source Code](https://doi.org/10.5281/zenodo.5965856)\n\n## Citation\n\nPlease cite the paper, data and source code as \n\n```bibtex\n@inproceedings{cigam_paper,\n  title\t\t= {Core-periphery Models for Hypergraphs},\n  author\t= {Papachristou, Marios and Kleinberg, Jon},\n  booktitle\t= {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery \u0026 Data Mining},\n  year\t\t= {2022}\n}\n\n@dataset{cigam_datasets,\n  author       = {Papachristou, Marios and Kleinberg, Jon},\n  title        = {Datasets - Core-periphery Models for Hypergraphs},\n  month        = feb,\n  year         = 2022,\n  publisher    = {Zenodo},\n  doi          = {10.5281/zenodo.5943044},\n  url          = {https://doi.org/10.5281/zenodo.5943044}\n}\n\n@software{cigam_source_code,\n  author       = {Papachristou, Marios and Kleinberg, Jon},\n  title        = {Code - Core-periphery Models for Hypergraphs},\n  month        = feb,\n  year         = 2022,\n  publisher    = {Zenodo},\n  doi          = {10.5281/zenodo.5965856},\n  url          = {https://doi.org/10.5281/zenodo.5965856}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpapachristoumarios%2Fcore-periphery-hypergraphs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpapachristoumarios%2Fcore-periphery-hypergraphs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpapachristoumarios%2Fcore-periphery-hypergraphs/lists"}