PyTorch implementation of DualST: Dual-track Spatio-temporal Learning for Urban Flow Prediction with Adaptive Normalization
This is a testing PyTorch version implementation of DualST in the following paper: "Dual-track Spatio-temporal Learning for Urban Flow Prediction with Adaptive Normalization".
pip install -r requirements.txt
This version of implementation is only for learning purpose. For research, please refer to and cite from the following paper:
@article{li2024dual,
title={Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization},
author={Li, Xiaoyu and Gong, Yongshun and Liu, Wei and Yin, Yilong and Zheng, Yu and Nie, Liqiang},
journal={Artificial Intelligence},
volume={328},
pages={104065},
year={2024},
publisher={Elsevier}
}
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