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Hypergraphs, Characteristic Polynomials and the Ihara Zeta Function

机译:超图,特征多项式和Ihara Zeta函数

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In this paper we make a characteristic polynomial analysis on hypergraphs for the purpose of clustering. Our starting point is the Ihara zeta function [8] which captures the cycle structure for hypergraphs. The Ihara zeta function for a hypergraph can be expressed in a determinant form as the reciprocal of the characteristic polynomial of the adjacency matrix for a transformed graph representation. Our hypergraph characterization is based on the coefficients of the characteristic polynomial, and can be used to construct feature vectors for hypergraphs. In the experimental evaluation, we demonstrate the effectiveness of the proposed characterization for clustering hypergraphs.
机译:在本文中,出于聚类的目的,我们对超图进行了特征多项式分析。我们的起点是Ihara zeta函数[8],该函数捕获超图的循环结构。超图的Ihara zeta函数可以以行列式形式表示为变换后的图形表示形式的邻接矩阵的特征多项式的倒数。我们的超图表征基于特征多项式的系数,可用于构造超图的特征向量。在实验评估中,我们证明了拟议的聚类超图特征的有效性。

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