Adding background knowledge using FCI about causal-learn

[asha24choudhary]

I further investigated in the final graph G that I got from FCI.

a=[]
for i in range(len(nodes_forbidden)):
    if (G.get_directed_edge(nodes[nodes_forbidden[i][0]], nodes[nodes_forbidden[i][1]])) is not None:
        print(nodes_forbidden[i])
        a.append(nodes_forbidden[i])

Length of the forbidden node pairs provided in nodes_forbidden is 40180. And from the above code in this comment len(a) =418, which means there are 418 edges that I prohibited using bk.add_forbidden_by_node method but, they still exist. Could you please tell me why this is happening and how can I resolve it?

I am not understanding the cause of the problem at the first place.

[kunwuz]

Thanks for reporting. If you would like to, could you please send us a minimal reproducing example of this issue (perhaps via email: [email protected])?