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Efficient subgraph matching using topological node feature constraints

delete2015-02-01
delete15
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OA
AI
N
Nicholas Dahm *
H
Horst Bunke
T
Terry Caelli
Y
Yongsheng Gao
DOI:10.1016/j.patcog.2014.05.018delete
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Abstract

Abstract

En 中文
This paper presents techniques designed to minimise the number of states which are explored during subgraph isomorphism detection. A set of advanced topological node features, calculated from n-neighbourhood graphs, is presented and shown to outperform existing features. Further, the pruning effectiveness of both the new and existing topological node features is significantly improved through the introduction of strengthening techniques. In addition to topological node features, these strengthening techniques can also be used to enhance application-specific node labels using a proposed novel extension to existing pruning algorithms. Through the combination of these techniques, the number of explored search states can be reduced to near-optimal levels. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords:
Graph matching
Subgraph isomorphism
Topological node features
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Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

G
Griffith University
Scholars:
1.5W
Papers: 1.6W
Citations: 2.5W
U
University of Bern
Scholars:
3.9W
Papers: 3.1W
Citations: 4.8W
U
university of melbourne
Scholars:
5.7W
Papers: 5.4W
Citations: 69
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