Some questions about the output of the SubgraphX

[YOLO-jbc]

Hello!! This is a graph classification task and all the samples are divided into 2 categories. I'm trying to use SubgraphX to explain my GCN model on one sample graph. Concretely,

_, explanation_results, related_preds = subgraphx(dataset[0].x, dataset[0].edge_index)

Then I get related_preds like this

[{'masked': 0.997955322265625,
  'maskout': 0.9543552398681641,
  'origin': 0.9994699358940125,
  'sparsity': 0.5},
 {'masked': 0.0524115152657032,
  'maskout': 0.0018024112796410918,
  'origin': 0.000530135293956846,
  'sparsity': 0.7}]

I am wondering what means 'masked', 'maskout', 'origin'? And how can I get the fidelity of the explaination result? Thanks a lot! ;)