Local Motif Clustering via (Hyper)Graph Partitioning
Local Motif Clustering via (Hyper)Graph Partitioning
A widely-used operation on graphs is local clustering, i.e., extracting a well-characterized community around a seed node without the need to process the whole graph. Recently local motif clustering has been proposed: it looks for a local cluster based on the distribution of motifs. Since this local clustering perspective is …