Learning to effectively model spatial-temporal heterogeneity for traffic flow forecasting.
Minrui Xu|Xiyang Li|Fucheng Wang|Jedi S. Shang|Chong Tai|Wanjun Cheng|Jiajie Xu
| Anthology ID: | DBLP:journals/www/XuLWSTCX23 |
|---|---|
| Year: | 2023 |
| Venue: | World Wide Web (WWW) |
| Pages: | 849-865 |
| URL: | https://doi.org/10.1007/S11280-022-01045-Y |
| DOI: | https://doi.org/10.1007/S11280-022-01045-Y |
| DBLP: | journals/www/XuLWSTCX23 |
| BibTeX: |
@article{xu-2023-learning,
author = {Minrui Xu and
Xiyang Li and
Fucheng Wang and
Jedi S. Shang and
Chong Tai and
Wanjun Cheng and
Jiajie Xu},
title = {{Learning to effectively model spatial-temporal heterogeneity for traffic flow forecasting}},
journal = {World Wide Web (WWW)},
volume = {26},
number = {3},
pages = {849--865},
year = {2023},
url = {https://doi.org/10.1007/S11280-022-01045-Y},
doi = {https://doi.org/10.1007/S11280-022-01045-Y}
}