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} }