Abstract
The problem of graph matching is usually approached via explicit search in state-space or via energy minimization. In this paper we deal with a class of heuristics coming from a combination of both approaches. Combinatorially, the basic heuristic of the class can be interpreted as a greedy algorithm to form maximal cliques in an association graph. To avoid one of the main drawbacks of greedy strategies, i.e. that they are easily fooled by poor local optima, we propose a modification which allows for vertex swaps during the formation of a clique. Experiments on random graphs show the effectiveness of the proposed heuristics both in terms of quality of solutions and speed.
This work is supported by the Austrian Science Foundation (FWF) under grant P14445-MAT and by MURST under grant MM09308497.
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Fosser, P., Glantz, R., Locatelli, M., Pelillo, M. (2003). Swap Strategies for Graph Matching. In: Hancock, E., Vento, M. (eds) Graph Based Representations in Pattern Recognition. GbRPR 2003. Lecture Notes in Computer Science, vol 2726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45028-9_13
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DOI: https://doi.org/10.1007/3-540-45028-9_13
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