- pytorch (1.9.0+)
- dgl (0.8.0 / cuda 11.3)
- dgl installation = here
- networkx
- numpy
- torchmetrics
- put data into training and testing folder (data format :
npz file
) - run main.py
- The features used MIT-BIH arrhythmia dataset, it is refined in the BCML-KW. (Sharing is difficult.)
- Instead, there is an example code (breast cancer).