# GMAN

**Repository Path**: lc2020noob/GMAN

## Basic Information

- **Project Name**: GMAN
- **Description**: GMAN
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-27
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# GMAN: A Graph Multi-Attention Network for Traffic Prediction

<p align="center">
  <img width="600" height="450" src=./figure/GMAN.png>
</p>

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://arxiv.org/abs/1911.08415)", AAAI2020 (https://arxiv.org/abs/1911.08415)

More details will be added ...

## Data
The datasets could be downloaded from [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).

## Results
<p align="center">
  <img width="900" height="400" src=./figure/results.png>
</p>

## 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"
}
```