pytorch/captum

Integrated Gradient without edge attribute

dongwei2001 opened this issue · 0 comments

❓ Questions and Help

Hi! I'm facing a problem: We want to use Integrated gradient(IG) to explain a GCN model. We want to generate edge_mask for each edge in the network. But this GCN model doesn't make use of edge attribute during both training and testing.
So my question is: Can we use IG to explain this model without using edge attribute? Or I can only switch to other explainers?

Thanks so much!