Abstract:Community detection is the unsupervised task of finding groups of nodes in a graph based on mutual similarity. Existing approaches for community detection either partition the graph in disjoint, nonoverlapping, communities, or return overlapping communities. Currently, no method satisfactorily detects both overlapping and nonoverlapping communities.We propose UCoDe, a unified method for unsupervised community detection in attributed graphs. It leverages recent developments in Graph Neural Networks (GNNs) for r… Show more
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