Skip to content

Code for paper "Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting"

License

Notifications You must be signed in to change notification settings

zzzy0828/DeepFS

This branch is up to date with songjiang0909/DeepFS:main.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

8229c61 · Nov 14, 2022

History

4 Commits
Nov 14, 2022
Nov 14, 2022
Nov 14, 2022
Nov 14, 2022

Repository files navigation

DeepFS

This is the implementation of our paper "Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting", published at CIKM'22.

Data

The original data are from this repo, credits and copyrights belong to the authors!

How to run?

  • Step1 (run):
    • cd ./src
    • python 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.

Contact

Song Jiang [email protected]

Repo reference

Informer

Bibtex

@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}
}

About

Code for paper "Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%