New Adaptive Matching Order and Performance Comparison for Subgraph Matching Problem 


Vol. 49,  No. 1, pp. 1-7, Jan.  2022
10.5626/JOK.2022.49.1.1


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  Abstract

In recent years, graph analysis has been used in various applications. One of the fundamental problems in graph analysis is the subgraph matching problem. Given a data graph and a query graph, the subgraph matching problem is to find all embeddings of the query graph in the data graph. Many backtracking-based algorithms have been studied to solve this problem. In this paper, we analyzed the problems in adaptive matching order proposed by DAF, a state-of-the-art algorithm that solves this problem, and introduced an improved adaptive matching order. Furthermore, we conducted experiments with real data graphs to demonstrate that the proposed matching order was more effective than the previous matching orders if the pruning technique was not used or the elapsed time was not very short even if the pruning technique was used.


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  Cite this article

[IEEE Style]

S. Min, W. Shin, C. Kim, K. Park, "New Adaptive Matching Order and Performance Comparison for Subgraph Matching Problem," Journal of KIISE, JOK, vol. 49, no. 1, pp. 1-7, 2022. DOI: 10.5626/JOK.2022.49.1.1.


[ACM Style]

Seunghwan Min, Wonseok Shin, Chaewon Kim, and Kunsoo Park. 2022. New Adaptive Matching Order and Performance Comparison for Subgraph Matching Problem. Journal of KIISE, JOK, 49, 1, (2022), 1-7. DOI: 10.5626/JOK.2022.49.1.1.


[KCI Style]

민승환, 신원석, 김채원, 박근수, "부분 그래프 매칭 문제를 위한 새로운 동적 매칭 순서와 성능 비교," 한국정보과학회 논문지, 제49권, 제1호, 1~7쪽, 2022. DOI: 10.5626/JOK.2022.49.1.1.


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