[Question] coefficient magnitude, GCT about graspologic HOT 5 CLOSED

conceptually, sure. one can put a distribution on the weights in a given block, say. obviously we don't have such a thing implemented.

if you did that, you'd just have to decide how you want to compare the two distributions in two different graphs, say. this paper talks about some possible options https://arxiv.org/pdf/2011.14990.pdf

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Hi @jamesdalg - you can find a "stats" field in the misc dictionary returned by group_connection_test, the exact meaning of which will depend on the exact test you asked for with method. https://microsoft.github.io/graspologic/latest/reference/reference/inference.html#graspologic.inference.group_connection_test

perhaps that's what you want?

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I think that's exactly it!! Great. Thanks!

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What I noticed is that I can't use the SBM on valued edges. Is there some model that allows for edge weights?

    192 graph = import_graph(graph)
    194 if not is_unweighted(graph):
--> 195     raise NotImplementedError(
    196         "Graph model is currently only implemented for unweighted graphs."
    197     )
    199 if y is None:
    200     self._estimate_assignments(graph)

NotImplementedError: Graph model is currently only implemented for unweighted graphs.

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Sounds great! I'll look into it.

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