{"id":20215955,"url":"https://github.com/thudm/mrt","last_synced_at":"2025-11-30T00:02:41.686Z","repository":{"id":57334824,"uuid":"377793123","full_name":"THUDM/MRT","owner":"THUDM","description":"MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)","archived":false,"fork":false,"pushed_at":"2023-03-23T11:41:55.000Z","size":12411,"stargazers_count":17,"open_issues_count":0,"forks_count":2,"subscribers_count":11,"default_branch":"main","last_synced_at":"2025-02-14T02:19:45.747Z","etag":null,"topics":["data-mining","machine-learning"],"latest_commit_sha":null,"homepage":"","language":null,"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/THUDM.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-06-17T10:34:28.000Z","updated_at":"2024-10-15T07:34:00.000Z","dependencies_parsed_at":"2024-11-14T06:27:02.147Z","dependency_job_id":"5bda2551-1ba6-458a-bc5e-6f6b794544b9","html_url":"https://github.com/THUDM/MRT","commit_stats":{"total_commits":2,"total_committers":1,"mean_commits":2.0,"dds":0.0,"last_synced_commit":"7bde732fe6d9ee2228d943860907a9fbfdfe0562"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUDM%2FMRT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUDM%2FMRT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUDM%2FMRT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/THUDM%2FMRT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/THUDM","download_url":"https://codeload.github.com/THUDM/MRT/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241652964,"owners_count":19997578,"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":["data-mining","machine-learning"],"created_at":"2024-11-14T06:25:37.111Z","updated_at":"2025-11-30T00:02:36.638Z","avatar_url":"https://github.com/THUDM.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# MRT: Tracing the Evolution of Scientific Publications\n\n[Official Site](https://mrt.aminer.cn/) | [Demo](https://thudm.github.io/MRT/)\n\nThe implementation for the paper \"[MRT: Tracing the Evolution of Scientific Publications](http://keg.cs.tsinghua.edu.cn/jietang/publications/TKDE21-Yin-et-al-MRT-Tracing-the-Evolution-of-Scientific-Publications.pdf)\" (TKDE 2021 accepted).\n\n## Introduction\n\nThe MRT (Master Reading Tree) is designed to help researchers quickly find the evolution roadmap of a target paper, for example, tracing how the famous paper BERT evolves. [A demo of the BERT roadmap.](https://mrt.aminer.cn/5dd3de98e07b013b38cf3399)\n\nSpecifically, given a research paper, the designed algorithm will try to extract a small citation network with metainfo of papers and then build a roadmap to sketch different tracks of the target paper's evolution.\n\nThis repo includes two code libraries:\n1. [**mrtframework**](https://github.com/THUDM/MRT/tree/mrtframework), the backend algorithm for generating roadmaps. You can either use the code to discover how the library works or how evaluations are conducted.\n2. [**react-mrt**](https://github.com/THUDM/MRT/tree/react-mrt), the frontend UI (a React component) for displaying a generated roadmap. You can use this framework to integrate dynamic roadmaps in your own website.\n\nThis whole framework has already been integrated into the [AMiner](https://www.aminer.cn/) online system where you can click the \"Generate MRT\" button on paper pages to generate roadmaps for your interested papers.\n\n## Citation\n\nPlease cite the following works if you find the work of MRT helps you in your research.\n```\n@article{yin2021mrt,\n  title={MRT: Tracing the Evolution of Scientific Publications},\n  author={Yin, Da and Tam, Weng Lam and Ding, Ming and Tang, Jie},\n  journal={IEEE Transactions on Knowledge and Data Engineering},\n  year={2021},\n  publisher={IEEE}\n}\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthudm%2Fmrt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthudm%2Fmrt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthudm%2Fmrt/lists"}