Error-tolerant graph matching using node contraction

被引：8

作者：

Dwivedi, Shri Prakash ^{[1
]}

Singh, Ravi Shankar ^{[1
]}

机构：

[1] Indian Inst Technol BHU, Dept Comp Sci & Engn, Varanasi, Uttar Pradesh, India

来源：

PATTERN RECOGNITION LETTERS | 2018年 / 116卷

关键词：

Graph matching; Graph edit distance; Structural pattern recognition; ATTRIBUTED RELATIONAL GRAPHS; EDIT DISTANCE; PATTERN-RECOGNITION; COMPUTATION; SEARCH;

D O I：

10.1016/j.patrec.2018.09.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Graph matching is the task of computing the similarity between two graphs. It is widely used in graph-based structural pattern recognition. Error-tolerant graph matching is a type of graph matching, in which a similarity between two graphs is computed based on some tolerance value whereas in exact graph matching a strict one-to-one correspondence is required between two graphs. In this paper, we present an approach to error-tolerant graph matching using node contraction where the given graph is transformed into another graph by contracting smaller degree nodes. We use this scheme to extend the notion of graph edit distance, which can be used as a trade-off between execution time and accuracy requirements of various graph matching applications. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：58 / 64

页数：7

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