Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting.

Xinyu Li|Kexi Chen|Ying Zheng|Zhiyi Yao|Yi Xie|Jihan Dai|Lei Bai|Jin Zhao|Jiajie Shen|Yunqi Cai|Hong Lu|Xin Wang


Anthology ID:DBLP:conf/www/LiCZYXDBZSCLW26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:7354-7365
URL:https://doi.org/10.1145/3774904.3792503
DOI:https://doi.org/10.1145/3774904.3792503
DBLP:conf/www/LiCZYXDBZSCLW26
BibTeX:
@inproceedings{li-2026-modeling, author = {Xinyu Li and Kexi Chen and Ying Zheng and Zhiyi Yao and Yi Xie and Jihan Dai and Lei Bai and Jin Zhao and Jiajie Shen and Yunqi Cai and Hong Lu and Xin Wang}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {7354--7365}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792503}, doi = {https://doi.org/10.1145/3774904.3792503} }