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Properties of graph distance measures by means of discrete inequalities

机译:离散不等式的图距离测度的性质

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摘要

In this paper, we investigate graph distance measures based on topological graph measures. Those measures can be used to measure the structural distance between graphs. When studying the scientific literature, one is aware that measuring distance/similarity between graphs meaningfully has been intricate. We demonstrate that our measures are well-defined and prove bounds for investigating their value domain. Also, we generate numerical results and demonstrate that the measures have useful properties.
机译:在本文中,我们研究基于拓扑图度量的图距离度量。这些度量可用于度量图形之间的结构距离。在研究科学文献时,人们意识到有意义地测量图之间的距离/相似度是很复杂的。我们证明我们的措施定义明确,并证明了调查其价值领域的界限。此外,我们产生了数值结果,并证明了这些措施具有有用的性质。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2018年第7期|739-749|共11页
  • 作者单位

    Institute for Intelligent Production, Faculty for Management,College of Computer and Control Engineering, Nankai University,Department of Mechatronics and Biomedical Computer Science, UMIT;

    College of Computer and Control Engineering, Nankai University;

    Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology,Institute of Biosciences and Medical Technology;

    Center for Combinatorics and LPMC, Nankai University;

    Institute for Intelligent Production, Faculty for Management;

    Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology,Institute of Biosciences and Medical Technology;

    Department of Computer Science, The City College of New York (CUNY);

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Distance measures; Similarity measures; Inequalities; Graphs; Networks;

    机译:距离测度;相似度测度;不等式;图;网络;

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