# STG2Seq

**Repository Path**: null_152_7495/STG2Seq

## Basic Information

- **Project Name**: STG2Seq
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-19
- **Last Updated**: 2020-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# STG2Seq
 The implementation of Paper ["STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting"](<https://www.ijcai.org/proceedings/2019/0274.pdf>)

If you find the code is useful, please cite our paper

```
@inproceedings{ijcai2019-274,
  title     = {STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting},
  author    = {Bai, Lei and Yao, Lina and Kanhere, Salil S. and Wang, Xianzhi and Sheng, Quan Z.},
  booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},             
  pages     = {1981--1987},
  year      = {2019},
  month     = {7},
  doi       = {10.24963/ijcai.2019/274},
  url       = {https://doi.org/10.24963/ijcai.2019/274},
}
```