{"id":17233957,"url":"https://github.com/zw-zhang/hope","last_synced_at":"2025-04-12T05:20:54.735Z","repository":{"id":195501245,"uuid":"135675874","full_name":"ZW-ZHANG/HOPE","owner":"ZW-ZHANG","description":"This is a sample implementation of \"Asymmetric Transitivity Preserving Graph Embedding\"(KDD 2016).","archived":false,"fork":false,"pushed_at":"2018-06-29T05:10:38.000Z","size":4,"stargazers_count":16,"open_issues_count":0,"forks_count":8,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-26T00:43:55.655Z","etag":null,"topics":["asymmetric-transtivity","gsvd","high-order-proximity","network-embedding","network-representation-learning"],"latest_commit_sha":null,"homepage":"","language":"Matlab","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/ZW-ZHANG.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,"governance":null}},"created_at":"2018-06-01T06:19:12.000Z","updated_at":"2024-12-15T14:43:06.000Z","dependencies_parsed_at":"2023-09-18T09:50:14.674Z","dependency_job_id":null,"html_url":"https://github.com/ZW-ZHANG/HOPE","commit_stats":null,"previous_names":["zw-zhang/hope"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FHOPE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FHOPE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FHOPE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FHOPE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZW-ZHANG","download_url":"https://codeload.github.com/ZW-ZHANG/HOPE/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248520123,"owners_count":21117879,"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":["asymmetric-transtivity","gsvd","high-order-proximity","network-embedding","network-representation-learning"],"created_at":"2024-10-15T05:27:41.956Z","updated_at":"2025-04-12T05:20:54.699Z","avatar_url":"https://github.com/ZW-ZHANG.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HOPE\nThis is a sample implementation of \"[Asymmetric Transitivity Preserving Graph Embedding](http://www.kdd.org/kdd2016/papers/files/rfp0184-ouA.pdf)\"(KDD 2016).\n\n### Requirements\n```\nMATLAB R2014a\n``` \n\n### Usage\nrun `embed_main.m` with matlab\n\n```\nInput:\n\tA: N*N adjacency matrix (sparse)\n\n\tK: dimensionality of embedding space\n\n\tbeta: decaying constant, default is 0.5 / spectral radius\n    \nOutput:\n    U: N*K left embedding matrix\n\n\tV: N*K right embedding matrix\n\n\tThe high-order proximity (katz) matrix is approximated by U * V'\n\n```\n\n### Cite\nIf you find this code useful, please cite our paper:\n```\n@inproceedings{ou2016asymmetric,\n  title={Asymmetric transitivity preserving graph embedding},\n  author={Ou, Mingdong and Cui, Peng and Pei, Jian and Zhang, Ziwei and Zhu, Wenwu},\n  booktitle={Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining},\n  pages={1105--1114},\n  year={2016},\n  organization={ACM}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzw-zhang%2Fhope","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzw-zhang%2Fhope","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzw-zhang%2Fhope/lists"}