MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting.
Binqing Wu|Zongjiang Shang|Jianlong Huang|Ling Chen
| Anthology ID: | DBLP:conf/cikm/WuSH025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3344-3354 |
| URL: | https://doi.org/10.1145/3746252.3761173 |
| DOI: | https://doi.org/10.1145/3746252.3761173 |
| DBLP: | conf/cikm/WuSH025 |
| BibTeX: |
@inproceedings{wu-2025-millgnn,
author = {Binqing Wu and
Zongjiang Shang and
Jianlong Huang and
Ling Chen},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3344--3354},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761173},
doi = {https://doi.org/10.1145/3746252.3761173}
}