Oliver-0423

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Networkx SCC (strongly connected components) algorithm in PyG

> Ah, you mean a PyG implementation of [SCC](https://networkx.github.io/documentation/networkx-1.9/reference/generated/networkx.algorithms.components.strongly_connected.strongly_connected_components.html). I'm not sure when I will have time to do it, but I will add this functionality to my todo list....

running the code example in Tutorial for GNN Explainability; error: ModuleNotFoundError: No module named 'dig.xgraph.utils.compatibility'

torch 1.10.1 torch_geometric 2.1.0 dig 0.1.2

running the code example in Tutorial for GNN Explainability; error: ModuleNotFoundError: No module named 'dig.xgraph.utils.compatibility'

another bug: running: result = find_closest_node_result(explanation_results[prediction], max_nodes=max_nodes) error: AttributeError: 'dict' object has no attribute 'coalition' Has anyone run this tutorial successfully?

running the code example in Tutorial for GNN Explainability; error: ModuleNotFoundError: No module named 'dig.xgraph.utils.compatibility'

@YANI-ALT download from git , don't use pip install dive-into-graphs,

running the code example in Tutorial for GNN Explainability; error: ModuleNotFoundError: No module named 'dig.xgraph.utils.compatibility'

@YANI-ALT better don't use windows, This project is very Windows unfriendly

xgraph/pgexplainer

I have exactly the same problem, do you find out how to fix this?

the methods in xgraph can only explain model in dig.xgraph.models

pyg version 2.1.0, dig version 1.0.0 torch 1.13.0