An Analysis of How Hypergraph Spectral Clustering Deals with Higher-order Relationships

Spectral clustering has recently been extended to hypergraphs, which are formed by vertices and higher-order relationships between these vertices. In this article, we consider a methodology to qualitatively compare hypergraph spectral clustering against the classical graph spectral clustering. More precisely, we use a graph representation to create a graph from a given hypergraph, thus allowing a comparison between spectral clustering methods. Experiment shows that the hypergraph spectral clustering deals differently with higher-order relationships.

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Published
2024-09-30
DOI
https://doi.org/10.5753/sibgrapi.est.2024.31660
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

An Analysis of How Hypergraph Spectral Clustering Deals with Higher-order Relationships

Fabiano Petronetto, Alcebiades Dal Col, Ana Carolina Holzmeister Cunha
5 links
Complex Network Analysis Techniques
article

An Analysis of How Hypergraph Spectral Clustering Deals with Higher-order Relationships

Fabiano Petronetto, Alcebiades Dal Col, Ana Carolina Holzmeister Cunha
article en

Abstract

Spectral clustering has recently been extended to hypergraphs, which are formed by vertices and higher-order relationships between these vertices. In this article, we consider a methodology to qualitatively compare hypergraph spectral clustering against the classical graph spectral clustering. More precisely, we use a graph representation to create a graph from a given hypergraph, thus allowing a comparison between spectral clustering methods. Experiment shows that the hypergraph spectral clustering deals differently with higher-order relationships.

University of Finance and Economics (MN)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 79%
Complex Network Analysis Techniques
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