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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4