Algorithms and Data Structures for Hyperedge Queries

Q2 Mathematics
Jules Bertrand, F. Dufossé, Somesh Singh, B. Uçar
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引用次数: 1

Abstract

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.
超边缘查询的算法和数据结构
我们考虑超图中超边的存在性问题。更正式地说,给定一个超图,我们需要回答以下形式的查询:“下面的一组顶点在给定的超图中形成超边吗?”我们的目标是建立基于哈希的数据结构,以尽可能快地回答这些查询。我们提出了一种适用于现有问题的众所周知的完美哈希方法。我们分析了所提出的方法的空间和运行时复杂性,并将其与最先进的基于哈希的解决方案进行了实验比较。实验证明了所提出的方法相对于现有技术的有效性。
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来源期刊
Journal of Experimental Algorithmics
Journal of Experimental Algorithmics Mathematics-Theoretical Computer Science
CiteScore
3.10
自引率
0.00%
发文量
29
期刊介绍: The ACM JEA is a high-quality, refereed, archival journal devoted to the study of discrete algorithms and data structures through a combination of experimentation and classical analysis and design techniques. It focuses on the following areas in algorithms and data structures: ■combinatorial optimization ■computational biology ■computational geometry ■graph manipulation ■graphics ■heuristics ■network design ■parallel processing ■routing and scheduling ■searching and sorting ■VLSI design
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