Hi, > As you said, there does not seem to be easy choices other then automatising > at the filesystem level (saving hundreds of graphs from R, processing > hundreds of graphs in python while writing them, and reading the hundreds of > graphs from R again. Oh well. Well, there is one more possibility. If your graph does not have attributes, you can simply convert it into an edgelist using get.edgelist in the R side, and then you can re-construct the graph on the Python side from the edge list. I don't know NetworkX well enough but I'm 100% sure that it has some function for creating graphs from numeric edge lists. This way you can avoid the overhead of saving the graphs to disk.
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