# GMAN **Repository Path**: jiang-linwen/GMAN ## Basic Information - **Project Name**: GMAN - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-06-22 - **Last Updated**: 2025-06-22 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # GMAN: A Graph Multi-Attention Network for Traffic Prediction (AAAI-2020)

This is the implementation of Graph Multi-Attention Network in the following paper: \ Chuanpan Zheng, Xiaoliang Fan*, Cheng Wang, and Jianzhong Qi. "[GMAN: A Graph Multi-Attention Network for Traffic Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/5477)", Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020, 34(01): 1234-1241. ## Data The datasets are available at [Google Drive](https://drive.google.com/open?id=10FOTa6HXPqX8Pf5WRoRwcFnW9BrNZEIX) or [Baidu Yun](https://pan.baidu.com/s/14Yy9isAIZYdU__OYEQGa_g), provided by [DCRNN](https://github.com/liyaguang/DCRNN), and should be put into the corresponding `data/` folder. ## Requirements Python 3.7.10, tensorflow 1.14.0, numpy 1.16.4, pandas 0.24.2 ## Results

## Third-party re-implementations A Pytorch implementaion by [VincLee8188](https://github.com/VincLee8188) is available at [GMAN-Pytorch](https://github.com/VincLee8188/GMAN-PyTorch). ## Citation If you find this repository useful in your research, please cite the following paper: ``` @inproceedings{ GMAN-AAAI2020, author = "Chuanpan Zheng and Xiaoliang Fan and Cheng Wang and Jianzhong Qi" title = "GMAN: A Graph Multi-Attention Network for Traffic Prediction", booktitle = "AAAI", pages = "1234--1241", year = "2020" } ```