This is the implementation of our paper "Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting", published at CIKM'22.
The original data are from this repo, credits and copyrights belong to the authors!
- Step1 (run):
cd ./srcpython main.py --arguement arguement_values- See explanations for other arguements and parameters in
main.py.
The prediction and trained models are stored under the result folder.
Song Jiang [email protected]
@inproceedings{deepfs2022,
title={Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting},
author={Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun},
booktitle={Proceedings of the 31st ACM International Conference on Information & Knowledge Management},
year={2022}
}