Thanks so much Tiago, I highly appreciate the help. I think it would be useful
to put one such reference along with others in the random_rewire docs. Please
consider this if it makes sense.
Thanks and regards,
SS
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Thanks Tiago. I have a related question: suppose self-loops and multi-edges are
not allowed. Now according to the documentation, graphs are generated using
"Efficient Markov Chain based on edge swaps". However, I could not find the
description of the algorithm in the documentation or the
Am 22.07.20 um 08:49 schrieb Snehal Shekatkar:
> Thanks Tiago. I have a related question: suppose self-loops and multi-edges
> are not allowed. Now according to the documentation, graphs are generated
> using "Efficient Markov Chain based on edge swaps". However, I could not find
> the
Am 22.07.20 um 00:12 schrieb spolo96:
> Hello everyone, I'm having a hard time dealing with multiple edges in a graph
> with the use of gt.shortest_path with negative weights. This is a simple
> code that creates a simple graph in order to show my problem:
>
> g70 = gt.Graph()
>
> edge_weight =
