Algorithms and Data Structures for Hyperedge Queries - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue ACM Journal of Experimental Algorithmics Année : 2022

Algorithms and Data Structures for Hyperedge Queries

Résumé

We consider the problem of querying the existence of hyperedges in hypergraphs. More formally, given a hypergraph, we need to answer queries of the form: “Does the following set of vertices form a hyperedge in the given hypergraph?” Our aim is to set up data structures based on hashing to answer these queries as fast as possible. We propose an adaptation of a well-known perfect hashing approach for the problem at hand. We analyze the space and runtime complexity of the proposed approach and experimentally compare it with the state-of-the-art hashing-based solutions. Experiments demonstrate the efficiency of the proposed approach with respect to the state-of-the-art.
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Dates et versions

hal-03905905 , version 1 (19-12-2022)

Identifiants

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Jules Bertrand, Fanny Dufossé, Somesh Singh, Bora Uçar. Algorithms and Data Structures for Hyperedge Queries. ACM Journal of Experimental Algorithmics, 2022, 27, pp.1-23. ⟨10.1145/3568421⟩. ⟨hal-03905905⟩
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