Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction.
Qi Yu|Weilong Ding|Hao Zhang|Yang Yang|Tianpu Zhang
| Anthology ID: | DBLP:conf/cikm/YuDZYZ24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3032-3041 |
| URL: | https://doi.org/10.1145/3627673.3679571 |
| DOI: | https://doi.org/10.1145/3627673.3679571 |
| DBLP: | conf/cikm/YuDZYZ24 |
| BibTeX: |
@inproceedings{yu-2024-rethinking,
author = {Qi Yu and
Weilong Ding and
Hao Zhang and
Yang Yang and
Tianpu Zhang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3032--3041},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679571},
doi = {https://doi.org/10.1145/3627673.3679571}
}