Statistical guarantees for local graph clustering

11 Jun 2019Wooseok HaKimon FountoulakisMichael W. Mahoney

Local graph clustering methods aim to find small clusters in very large graphs. These methods take as input a graph and a seed node, and they return as output a good cluster in a running time that depends on the size of the output cluster but that is independent of the size of the input graph... (read more)

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