DocumentCode
594915
Title
Topological features and iterative node elimination for speeding up subgraph isomorphism detection
Author
Dahm, N. ; Bunke, Horst ; Caelli, Terry ; Yongsheng Gao
Author_Institution
Queensland Res. Lab., Nat. ICT Australia, Canberra, QLD, Australia
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
1164
Lastpage
1167
Abstract
In this paper we tackle the problem of subgraph isomorphism detection on large graphs, which may commonly be intractable, even with state of the art algorithms. Rather than competing with other matching algorithms, we define enhancements that can be used by (almost) any subgraph isomorphism algorithm, both current and future. These enhancements consist of a number of topological features to be added to the nodes, and a technique which we term “iterative node elimination”. The fusion of these enhancements is shown to be able to reduce subgraph isomorphism matching times by a factor of over 4,500.
Keywords
data structures; graph theory; pattern matching; iterative node elimination; large graphs; state of the art algorithms; subgraph isomorphism detection problem; subgraph isomorphism matching time reduction; topological features; Australia; Computational complexity; Databases; Educational institutions; Feature extraction; Pattern recognition; Runtime;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460344
Link To Document