Questions related to graph and adjacency matrix using PC & FCI about causal-learn

[kunwuz]

Hi, thanks for your interest. It is possible to get the adjacency matrix for PC & FCI as mentioned in the doc as follows:

And for FCI (G.graph[i,j]):

I don't think there is an existing function for the first point, but I believe transferring the graph class in causal-learn to networkx-like graphs using pywhy-graph might be promising.

[asha24choudhary]

Thank you, I found that the causal graph object returned by PC can be visualized by networkx as shown in this doc, however, when I try to do the same using the Graph G returned by FCI it is not possible as the graph class is different in this case. The object returned by PC is 'causallearn.graph.GraphClass.CausalGraph', however, in case of FCI as we get two outputs (graph & edges), the graph object returned by FCI is completely different and I cannot visualise it. I don't know which python script should I edit to define the 'G.to_nx_graph()' method as shown here, that can be used for FCI. Thank you in advance!