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Fastest random walks generator on networkx graphs

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Hi, I am using the `.random_walks` working with a sparse network with 1.6 million nodes, it works well in the beginning when I have a small number of steps and...

Could it also generate the probability 2D array, together with the 2D random walk array? Thanks

Just want to know what would happen and how should we deal with this exceptional case

Hi! I'm calling `walker.random_walks(self.graph, n_walks=15, walk_len=10)`, but the output numpy array has shape `(1500, 10)`. Why is the first dimension multiplied by 100?

In `networkx`, nodes can be any hashable object (e.g., a text string, an image, an XML object, another Graph, a customized node object, etc.). But my understanding is that `graph-walker`...