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Triformer: Linear Triangular Transformer for Long Sequence Multivariate TimeSeries Forecasting
This is the origin Pytorch implementation of Triangular Transfomer.
Requirements
- Python 3.6
- matplotlib == 3.1.1
- numpy == 1.19.4
- pandas == 0.25.1
- scikit_learn == 0.21.3
- torch == 1.8.0
Dependencies can be installed using the following command:
pip install -r requirements.txt
Data and Usage
We used the exact same setup as Informer. The data processing and usage instructions can be found here.
Citation
If you find this repository useful in your research, please cite the following paper:
@inproceedings{RazvanIJCAI2022,
author = {Razvan-Gabriel Cirstea and
Chenjuan Guo and
Bin Yang and
Tung Kieu and
Xuanyi Dong and
Shirui Pan},
title = {Triformer: Triangular, Variable-Specific Attentions for Long Sequence
Multivariate Time Series Forecasting},
booktitle = {IJCAI},
year = {2022}
}