https://github.com/alixunxing/dmvst-net
DMVST-Net for AAAI 2018
Science Score: 10.0%
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Low similarity (6.1%) to scientific vocabulary
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DMVST-Net for AAAI 2018
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# Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Source code of the paper [Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction](https://arxiv.org/abs/1802.08714)
If you find the code is userful, please cite our paper
```
@inproceedings{yao2018deep,
title={Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction},
author={Yao, Huaxiu and Wu, Fei and Ke, Jintao and Tang, Xianfeng and Jia, Yitian and Lu, Siyu and Gong, Pinghua and Ye, Jieping and Li Zhenhui},
booktitle={The Thirty-Second AAAI Conference on Artificial Intelligence},
year={2018}
}
```
## Current Version
**I only put the model part on it. Other parts will be put soon.**
**The model part is just for reference**
## Requirements
- keras>=2.0.8
- tensorflow>=1.3.0
- python 2.7 (Recommend Anaconda)
## Data
This work is an intern work in Didi Chuxing. Due to the privacy policy, we do not provide the raw data. Maybe you can apply a similar type of data in https://outreach.didichuxing.com/appEn-vue/Personal.
Owner
- Login: alixunxing
- Kind: user
- Repositories: 18
- Profile: https://github.com/alixunxing