Abstract
We present a novel approach to the problem of finding all subgraphs and induced subgraphs of a (target) graph which are isomorphic to another (pattern) graph. To attain efficiency we use a special representation of the pattern graph. We also combine our search algorithm with some known bisection algorithms. Experimental comparison with other algorithms was performed on several types of graphs. The comparison results suggest that the approach provided here is most effective when all instances of a subgraph need to be found.
Original language | English |
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Pages (from-to) | 320-350 |
Number of pages | 31 |
Journal | Data Mining and Knowledge Discovery |
Volume | 19 |
Issue number | 3 |
DOIs | |
State | Published - 1 Dec 2009 |
Keywords
- Bisection
- Graph algorithms
- Heuristic
- Subgraph isomorphism
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computer Networks and Communications