Efficiently computing weighted tree edit distance using relaxation labeling

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Abstract

This paper investigates an approach to tree edit distance problem with weighted nodes. We show that any tree obtained with a sequence of cut and relabel operations is a subtree of the transitive closure of the original tree. Furthermore, we show that the necessary condition for any subtree to be a solution can be reduced to a clique problem in a derived structure. Using this idea we transform the tree edit distance problem into a series of maximum weight clique problems and then we use relaxation labeling to find an approximate solution.

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Torsello, A., & Hancock, E. R. (2001). Efficiently computing weighted tree edit distance using relaxation labeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2134, pp. 438–453). Springer Verlag. https://doi.org/10.1007/3-540-44745-8_29

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