https://github.com/thudm/mrt
MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)
https://github.com/thudm/mrt
data-mining machine-learning
Last synced: 7 months ago
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MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)
- Host: GitHub
- URL: https://github.com/thudm/mrt
- Owner: THUDM
- Created: 2021-06-17T10:34:28.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-03-23T11:41:55.000Z (over 3 years ago)
- Last Synced: 2025-02-14T02:19:45.747Z (over 1 year ago)
- Topics: data-mining, machine-learning
- Homepage:
- Size: 11.8 MB
- Stars: 17
- Watchers: 11
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MRT: Tracing the Evolution of Scientific Publications
[Official Site](https://mrt.aminer.cn/) | [Demo](https://thudm.github.io/MRT/)
The 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).
## Introduction
The 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)
Specifically, 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.
This repo includes two code libraries:
1. [**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.
2. [**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.
This 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.
## Citation
Please cite the following works if you find the work of MRT helps you in your research.
```
@article{yin2021mrt,
title={MRT: Tracing the Evolution of Scientific Publications},
author={Yin, Da and Tam, Weng Lam and Ding, Ming and Tang, Jie},
journal={IEEE Transactions on Knowledge and Data Engineering},
year={2021},
publisher={IEEE}
}
```