GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting.
Yanjun Zhao|Ziqing Ma|Tian Zhou|Mengni Ye|Liang Sun|Yi Qian
| Anthology ID: | DBLP:conf/cikm/ZhaoMZY0Q23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3464-3473 |
| URL: | https://doi.org/10.1145/3583780.3615136 |
| DOI: | https://doi.org/10.1145/3583780.3615136 |
| DBLP: | conf/cikm/ZhaoMZY0Q23 |
| BibTeX: |
@inproceedings{zhao-2023-gcformer,
author = {Yanjun Zhao and
Ziqing Ma and
Tian Zhou and
Mengni Ye and
Liang Sun and
Yi Qian},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {3464--3473},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615136},
doi = {https://doi.org/10.1145/3583780.3615136}
}