{"id":17233958,"url":"https://github.com/zw-zhang/arope","last_synced_at":"2025-04-14T02:31:56.515Z","repository":{"id":195501249,"uuid":"135674211","full_name":"ZW-ZHANG/AROPE","owner":"ZW-ZHANG","description":"This is the official implementation of \"Arbitrary-Order Proximity Preserved Network Embedding\"(KDD 2018).","archived":false,"fork":false,"pushed_at":"2019-04-02T08:02:27.000Z","size":1751,"stargazers_count":38,"open_issues_count":1,"forks_count":11,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-27T16:50:44.373Z","etag":null,"topics":["arbitrary-order-proximity","high-order-proximity","network-embedding","network-representation-learning","svd"],"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/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":"2018-06-01T06:00:41.000Z","updated_at":"2024-05-07T03:20:00.000Z","dependencies_parsed_at":"2023-09-18T09:50:14.641Z","dependency_job_id":null,"html_url":"https://github.com/ZW-ZHANG/AROPE","commit_stats":null,"previous_names":["zw-zhang/arope"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FAROPE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FAROPE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FAROPE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZW-ZHANG%2FAROPE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZW-ZHANG","download_url":"https://codeload.github.com/ZW-ZHANG/AROPE/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248810888,"owners_count":21165196,"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":["arbitrary-order-proximity","high-order-proximity","network-embedding","network-representation-learning","svd"],"created_at":"2024-10-15T05:27:42.285Z","updated_at":"2025-04-14T02:31:54.606Z","avatar_url":"https://github.com/ZW-ZHANG.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AROPE\nThis is the official implementation of \"[Arbitrary-Order Proximity Preserved Network Embedding](http://cuip.thumedialab.com/papers/NE-ArbitraryProximity.pdf)\"(KDD 2018).\n\nWe provide two implementations: MATLAB and Python. Note that the MATLAB version is faster in our testing and is used in producing original results in the paper.\n\n### Requirements\n```\nMATLAB R2017a\nor \nPython \u003e= 3.5.2\nnumpy \u003e= 1.14.2\nscipy \u003e= 1.0.0\npandas \u003e= 0.22.0\n``` \n\n### Usage\n#### Main Function\n```\n[U_output, V_output] = AROPE(A,d,order,weights)\n```\n```\nInput:\n    A: sparse adjacency matrix or its variations, must be symmetric\n    d: dimensionality \n    order: 1 x r vector, order of the proximity\n    weights: 1 x r cell/list, each containing the weights for one high-order proximity\nOutput:\n    U_output/V_output: 1 x r cell/list, each containing one content/context embedding vectors \n```\n#### Example Usage\nSee SampleRun.m or SampleRun.py for a sample run of network reconstruction on BlogCatalog dataset\n\n### Cite\nIf you find this code useful, please cite our paper:\n```\n@inproceedings{zhang2018arbitrary,\n  title={Arbitrary-Order Proximity Preserved Network Embedding},\n  author={Zhang, Ziwei and Cui, Peng and Wang, Xiao and Pei, Jian and Yao, Xuanrong and Zhu, Wenwu},\n  booktitle={Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \\\u0026 Data Mining},\n  pages={2778--2786},\n  year={2018},\n  organization={ACM}\n}\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzw-zhang%2Farope","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzw-zhang%2Farope","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzw-zhang%2Farope/lists"}