超图:概念、应用和分析

Wenping Zheng, Meilin Liu, Liang Jiye
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引用次数: 0

摘要

复杂网络是理解和建模复杂系统的主流工具。超图由于具有表征对象间高阶群关系的强大能力,在许多领域得到了广泛的研究。在本文中,我们给出了一个全面的概述超图。我们首先介绍了超图的背景和一些基本术语。然后,我们回顾了超图的生成方法和表示方法,并结合了一些下游任务,如顶点分类、超边缘预测。最后,研究了一些典型超图的拓扑性质,包括顶点度分布、超边度分布、连通性等。最后讨论了超图的应用和未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hypergraphs: Concepts, Applications and Analysis
Complex networks are a mainstream tool for understanding and modeling complex systems. Hypergraphs have been extensively studied in many fields due to its strong ability to represent higher-order group relationships among objects. In this paper, we give a comprehensive overview of hypergraphs. We first introduce the background of hypergraph and some basic terminologies. Then, we review hypergraph generation methods and representation methods combined with some downstream tasks, such as vertex classification, hyperedge prediction. Finally, we look into topological properties of some typical hypergraphs, including vertex degree distribution, hyperedge degree distribution, connectivity, etc. The paper concludes with a discussion of application and promising future directions of hypergraphs.
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