Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
Zezhi Shao|Zhao Zhang|Fei Wang|Wei Wei|Yongjun Xu
| Anthology ID: | DBLP:conf/cikm/ShaoZ00X22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4454-4458 |
| URL: | https://doi.org/10.1145/3511808.3557702 |
| DOI: | https://doi.org/10.1145/3511808.3557702 |
| DBLP: | conf/cikm/ShaoZ00X22 |
| BibTeX: |
@inproceedings{shao-2022-spatialtemporal,
author = {Zezhi Shao and
Zhao Zhang and
Fei Wang and
Wei Wei and
Yongjun Xu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4454--4458},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557702},
doi = {https://doi.org/10.1145/3511808.3557702}
}