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How is the performence compared to traditional community detection algorithms?
Nice work to follow. However, I didn't see the comparison against traditional community detection algorithms, such as louvain, LPA, infomap etc. Any opinions about the pros and cons between the embedding&clustering pipline and traditional methods will be appreciated.
when i use you algorithm to train embedding for a network, after i fit a GMM and train community embedding, the training result always has some Nan value. I can't find the reason. Can you give me some advice? thank you.