Closed alirezadizaji closed 2 years ago
Hello, since the node information aggregates from its k-hop neighbors for a k-layer GNN, it's defaulted to explain the importance of its k-hop neighbors.
Such k-hop neighbors all contribute to the final prediction of this node. Therefore, the explainability method such as GNNExplainer should consider them all in the algorithm.
Hi as I understood, the only option for node-based explanation is to choose a subgraph with the same k-hop with the original model. is it possible to choose the k-hop of GNNExplainer arbitrarily? I believe the
subset
generated by thesubgraph
method could help this matter.