# GMAN-PyTorch

**Repository Path**: jiang-linwen/GMAN-PyTorch

## Basic Information

- **Project Name**: GMAN-PyTorch
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **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

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


This is a testing PyTorch version 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.

##  Requirements
* Python
* PyTorch
* Pandas
* Matplotlib
* Numpy

## Dataset

The datasets could be  unzipped and load from the data directory in this repository.




## Citation

This version of implementation is only for learning purpose. For research, please refer to  and  cite from 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"
}
```