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Hypergraph Clustering Based on PageRank
[article]
2020
arXiv
pre-print
A hypergraph is a useful combinatorial object to model ternary or higher-order relations among entities. Clustering hypergraphs is a fundamental task in network analysis. In this study, we develop two clustering algorithms based on personalized PageRank on hypergraphs. The first one is local in the sense that its goal is to find a tightly connected vertex set with a bounded volume including a specified vertex. The second one is global in the sense that its goal is to find a tightly connected
arXiv:2006.08302v1
fatcat:rexru2qywfhq7kjzz7ft5bvshe