A graph matching method and a graph matching distance based on subgraph assignments

  • Authors:

  • Romain Raveaux;Jean-Christophe Burie;Jean-Marc Ogier

  • Affiliations:

  • L3I Laboratory, University of La Rochelle, av M. Crépeau, 17042 La Rochelle Cedex 1, France;L3I Laboratory, University of La Rochelle, av M. Crépeau, 17042 La Rochelle Cedex 1, France;L3I Laboratory, University of La Rochelle, av M. Crépeau, 17042 La Rochelle Cedex 1, France

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

During the last decade, the use of graph-based object representation has drastically increased. As a matter of fact, object representation by means of graphs has a number of advantages over feature vectors. As a consequence, methods to compare graphs have become of first interest. In this paper, a graph matching method and a distance between attributed graphs are defined. Both approaches are based on subgraphs. In this context, subgraphs can be seen as structural features extracted from a given graph, their nature enables them to represent local information of a root node. Given two graphs G"1,G"2, the univalent mapping can be expressed as the minimum-weight subgraph matching between G"1 and G"2 with respect to a cost function. This metric between subgraphs is directly derived from well-known graph distances. In experiments on four different data sets, the distance induced by our graph matching was applied to measure the accuracy of the graph matching. Finally, we demonstrate a substantial speed-up compared to conventional methods while keeping a relevant precision.