I saw that for PGExplainer you defined a custom propagate function in order to account for the edge matrix computed by the explainer, and this is fine. But, is it possible to achieve the same result by leaving the default propagate implementation and feeding the weights to the network with the additional parameter edge_weight?
Specifically, I am referring for simplicity just to the GCN architecture.
Hi all,
I have the following question:
I saw that for PGExplainer you defined a custom propagate function in order to account for the edge matrix computed by the explainer, and this is fine. But, is it possible to achieve the same result by leaving the default propagate implementation and feeding the weights to the network with the additional parameter
edge_weight
? Specifically, I am referring for simplicity just to the GCN architecture.Thanks!