Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction(MT-ASTN)

A simple version of Pytorch implementation of Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction published in CIKM2020 where Self-attention module was replaced by a simple attention mechanism.

Requirements

Numpy
scipy
Python 3.6+
Pytorch 1.0
Matplotlib(Optional)

Citation

Please cite the following paper if you use this repository in your reseach.

@inproceedings{wang2020multi,
  title={Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction},
  author={Wang, Senzhang and Miao, Hao and Chen, Hao and Huang, Zhiqiu},
  booktitle={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
  pages={1555--1564},
  year={2020}
}

Contact

The code might be a little messy. For any question, feel free to contact:

Hao Miao: haom@cs.aau.dk
Senzhang Wang: szwang@csu.edu.cn