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} }