Distributed Triangle Enumeration in Hypergraphs

Fuente: arXiv
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Main Authors: Adamson, Duncan, Rosenbaum, Will, Spirakis, Paul G.
Format: Preprint
Published: 2026
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author Adamson, Duncan
Rosenbaum, Will
Spirakis, Paul G.
author_facet Adamson, Duncan
Rosenbaum, Will
Spirakis, Paul G.
contents In the last decade, subgraph detection and enumeration have emerged as a central problem in distributed graph algorithms. This is largely due to the theoretical challenges and practical applications of these problems. In this paper, we initiate the systematic study of distributed sub-hypergraph enumeration in hypergraphs. To this end, we (1)~introduce several computational models for hypergraphs that generalize the CONGEST model for graphs and evaluate their relative computational power, (2)~devise algorithms for distributed triangle enumeration in our computational models and prove their optimality in two such models, (3)~introduce classes of sparse and ``everywhere sparse'' hypergraphs and describe efficient distributed algorithms for triangle enumeration in these classes, and (4)~describe general techniques that we believe to be useful for designing efficient algorithms in our hypergraph models.
format Preprint
id arxiv_https___arxiv_org_abs_2602_17834
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Distributed Triangle Enumeration in Hypergraphs
Adamson, Duncan
Rosenbaum, Will
Spirakis, Paul G.
Distributed, Parallel, and Cluster Computing
In the last decade, subgraph detection and enumeration have emerged as a central problem in distributed graph algorithms. This is largely due to the theoretical challenges and practical applications of these problems. In this paper, we initiate the systematic study of distributed sub-hypergraph enumeration in hypergraphs. To this end, we (1)~introduce several computational models for hypergraphs that generalize the CONGEST model for graphs and evaluate their relative computational power, (2)~devise algorithms for distributed triangle enumeration in our computational models and prove their optimality in two such models, (3)~introduce classes of sparse and ``everywhere sparse'' hypergraphs and describe efficient distributed algorithms for triangle enumeration in these classes, and (4)~describe general techniques that we believe to be useful for designing efficient algorithms in our hypergraph models.
title Distributed Triangle Enumeration in Hypergraphs
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2602.17834