Computer Science ›› 2018, Vol. 45 ›› Issue (6): 27-31,45.doi: 10.11896/j.issn.1002-137X.2018.06.004

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Survey of Graph Matching Algorithms

XIANG Ying-zhuo1, TAN Ju-xian2, HAN Jie-si1, SHI Hao3   

  1. National Key Laboratory of Science and Technology on Blind Signal Processing,Chengdu 610041,China1;
    Jiangnan Institute of Computing Technology,Wuxi,Jiangsu 214000,China2;
    Department of Automation,University of Science and Technology of China,Hefei 230031,China3
  • Received:2017-05-24 Online:2018-06-15 Published:2018-07-24

Abstract: Graph has been applied to many fields of science and technology,such as pattern recognition and computer vision,because of its powerful representation of structure and information.When graph is used to represent object structure,calculating the similarity of two objects equals to calculating the similarity of two graphs.The research of graph matching algorithms has been carried out for decades,especially as the big data technology increasingly becomes hot recently.As a representation of relationship among data,graph has been paid more attention in the research.This paper gave a survey of the development of the graph matching technology as well as the foundation of this theory.Then,this paper made a summarization of graph matching methods,and compared the performance of several classical algorithms.

Key words: Graph matching, Graph isomorphism, Subgraph isomorphism, Graph edit distance

CLC Number: 

  • TP311
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