An Efficient Algorithm for Diversified Top-k Subgraph Querying 


Vol. 51,  No. 2, pp. 103-109, Feb.  2024
10.5626/JOK.2024.51.2.103


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  Abstract

Subgraph matching is a core and important problem in graph analysis. The subgraph matching problem is to find all embeddings of the query graph in the data graph. However, the output results from previously proposed algorithms often overlap with each other, and thus interesting results are often missed. For this purpose, the diversified top-k subgraph querying problem is proposed. The diversified top-k subgraph querying problem is to find k embeddings that have the highest coverage among embeddings of the query graph in the data graph. In this paper, we present an algorithm for the diversified top-k subgraph querying problem and demonstrate that it finds diversified top-k results efficiently compared to existing algorithms.


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  Cite this article

[IEEE Style]

S. Lee and K. Park, "An Efficient Algorithm for Diversified Top-k Subgraph Querying," Journal of KIISE, JOK, vol. 51, no. 2, pp. 103-109, 2024. DOI: 10.5626/JOK.2024.51.2.103.


[ACM Style]

Seonho Lee and Kunsoo Park. 2024. An Efficient Algorithm for Diversified Top-k Subgraph Querying. Journal of KIISE, JOK, 51, 2, (2024), 103-109. DOI: 10.5626/JOK.2024.51.2.103.


[KCI Style]

이선호, 박근수, "다각적 Top-k 부분 그래프 질의를 위한 효율적인 알고리즘," 한국정보과학회 논문지, 제51권, 제2호, 103~109쪽, 2024. DOI: 10.5626/JOK.2024.51.2.103.


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