To run the code, you need to install Python(>=3.9.12)
and PyTorch(>=1.11.0)
at least. The full requirements are specified in requirements.txt
.
The pytorch_wavelets
package should be installed following the instructions of pytorch_wavelets.
The Electricity, Solar-energy and Traffic datasets can be downloaded from multivariate-time-series-data.
The Weather,ETTh2 datasets can be downloaded from Autoformer.
You should put the xx.csv
file into the directory with the datasets' name in dataset
directory.
For example, the proper file structure should be like:
dataset
|-- electricity
| |-- electricity.csv
|--solar
| |-- solar.csv
|--ETT-small
| |-- ETTh2.csv
|--traffic
| |-- traffic.csv
|--weather
| |-- weather.csv
The running script is run.sh
, where you can change any arguments which have been declared in run.py
.
If you have any questions, you can raise an issue or send an e-mail to lumingyang0614@gmail.com
Thanks to the following repos for their codes and datasets.
https://github.com/fbcotter/pytorch_wavelets
https://github.com/nnzhan/MTGNN
https://github.com/laiguokun/multivariate-time-series-data
[https://github.com/alanyoungCN/WaveForM](https://github.com/alanyoungCN/WaveForM