254 potential problems with graphweighted outdegrees, fixes #254#290
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IngoScholtes merged 3 commits intomainfrom Oct 2, 2025
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The new semantics in this implementation is consistent with the approach used for the Laplacian and adjacency matrix, i.e. there is a single function which can use an arbitrary numerical edge attribute
edge_attrfor the weighted degree calculation.Also,
Graph.transition_probabilities()now accepts anedge_attrargument, and will calculate unweighted transition probabilities by default.The new implementation also allows to choose whether a dictionary is returned (default) or a torch.tensor