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CommunityGAN: Community Detection with Generative Adversarial Nets
[article]
2019
arXiv
pre-print
Community detection refers to the task of discovering groups of vertices sharing similar properties or functions so as to understand the network data. With the recent development of deep learning, graph representation learning techniques are also utilized for community detection. However, the communities can only be inferred by applying clustering algorithms based on learned vertex embeddings. These general cluster algorithms like K-means and Gaussian Mixture Model cannot output much overlapped
arXiv:1901.06631v3
fatcat:qsljeklsbbeutjak3rp3pzbrne