Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.
Xiyue Zhang|Chao Huang|Yong Xu|Lianghao Xia
| Anthology ID: | DBLP:conf/cikm/ZhangHXX20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1853-1862 |
| URL: | https://doi.org/10.1145/3340531.3411941 |
| DOI: | https://doi.org/10.1145/3340531.3411941 |
| DBLP: | conf/cikm/ZhangHXX20 |
| BibTeX: |
@inproceedings{zhang-2020-spatialtemporal,
author = {Xiyue Zhang and
Chao Huang and
Yong Xu and
Lianghao Xia},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1853--1862},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411941},
doi = {https://doi.org/10.1145/3340531.3411941}
}