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Deep graph convolution neural network with non-negative matrix factorization for community discovery

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DGCN-NMF

Deep graph convolution neural network with non-negative matrix factorization for community discovery (It has been rejected by ICASSP 2021--2021/01/30)

Response Letter is a submitted file in rebuttal phase.

requirements:

python >= 3.7
pytorch >= 1.6.0
numpy >= 1.19.2
sklearn >= 0.21.2
networkx >= 2.5
dgl >= 0.5.2

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Deep graph convolution neural network with non-negative matrix factorization for community discovery

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