LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.
Di Jin|Cuiying Huo|Jiayi Shi|Dongxiao He|Jianguo Wei|Philip S. Yu
| Anthology ID: | DBLP:conf/www/0001HSHWY25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2860-2871 |
| URL: | https://doi.org/10.1145/3696410.3714596 |
| DOI: | https://doi.org/10.1145/3696410.3714596 |
| DBLP: | conf/www/0001HSHWY25 |
| BibTeX: |
@inproceedings{jin-2025-llgformer,
author = {Di Jin and
Cuiying Huo and
Jiayi Shi and
Dongxiao He and
Jianguo Wei and
Philip S. Yu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2860--2871},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714596},
doi = {https://doi.org/10.1145/3696410.3714596}
}