as it seems, an explanation output is generated by the GNNExplainer per each label exists in the dataset. isn't better to only define the benchmark based on the original model prediction?
Hello, thank you for your issue. Since the explanations for all the labels are provided, you can select the one corresponding to the original model prediction as the final explanation.
as it seems, an explanation output is generated by the GNNExplainer per each label exists in the dataset. isn't better to only define the benchmark based on the original model prediction?