Series:

Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013)

An Efficient Sub-graph Isomorphism Algorithm Based on Breadth First Strategy

Authors
Weixin Tian
Corresponding author
Tian
Keywords
sub-graph isomorphism, BFS, graph matching, vertices pair
Abstract
Sub-graph isomorphism is an important elemental issue in graph theory. This paper aimed to cope with the fall in performance that the current algorithms meet when the edges of the source graph grow up, and proposed an algorithm based on breadth first strategy. The algorithm sorts the vertices of the two graphs by the degree of out-edge and in-edge and adds all the vertices to the feasible pair according to the connection relations of the current vertex. The onging solution will be discarded and turn to next when any conflicts occur. The experiment shows that it has the better performance than current algorithm when the edges increase.
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