I am experiencing some overfitting in my tasks and I was wondering if it is possible to add regularisation and/or dropout after the graph convolutional layers and if you have any experience on how to do it!
Thanks in advance!
Yes, you can try things like:
- Early stopping
- Cross validation
- L1/L2 regularization
- Dropout
- Batch/Layer Normalization
to tackle the overfitting issues.