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About GNNExplain module and the future of explainability in kgcnn

Open juanramonua opened this issue 1 year ago • 2 comments

First of all, I think it is a very good idea to provide Keras with functionalities to work with graph networks. Currently, there is no alternative to PyG and the Keras functional API philosophy is very good. It is easy to implement, understand and maintain over time.

I would like to know the status of the GNNExplain module. I imagine that when kgcnn evolves to Keras 3.0 with JAX you will have to re-implement a lot of code and the explanation code has disappeared for the moment from the repository and the library.

My idea is to do some tests with small sized graphs on my own data and analyse the results with explainability, which is a general problem. A very important part now of any ML model is the explainability (in some way) of the model predictions.

Regards.

juanramonua avatar Oct 11 '23 09:10 juanramonua