A polynomial characterization of hypergraphs using the Ihara zeta function

dc.contributor.authorRen P.
dc.contributor.authorAleksic D.
dc.contributor.authorWilson R.
dc.contributor.authorHancock, Edwin
dc.date.accessioned2021-04-20T14:40:02Z
dc.date.available2021-04-20T14:40:02Z
dc.date.issued2011
dc.description.abstractThe aim of this paper is to seek a compact characterization of irregular unweighted hypergraphs for the purposes of clustering. To this end, we develop a polynomial characterization for hypergraphs based on the Ihara zeta function. We investigate the flexibility of the polynomial coefficients for learning relational structures with different relational orders. Furthermore, we develop an efficient method for computing the coefficient set. Our representation for hypergraphs takes into account not only the vertex connections but also the hyperedge cardinalities, and thus can distinguish different relational orders, which is prone to ambiguity if the hypergraph Laplacian is used. In our experimental evaluation, we demonstrate the effectiveness of the proposed characterization for clustering irregular unweighted hypergraphs and its advantages over the spectral characterization of the hypergraph Laplacian. © 2010 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.patcog.2010.06.011
dc.identifier.issn0031-3203
dc.identifier.scopus2-s2.0-79957500663
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/10021
dc.rightsrestrictedAccess
dc.sourcePattern Recognition
dc.titleA polynomial characterization of hypergraphs using the Ihara zeta function
dc.typeconferenceObject

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