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A Hungarian Algorithm for Error-Correcting Graph Matching

机译:一种匈牙利的纠错图匹配算法

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摘要

Bipartite graph matching algorithms become more and more popular to solve error-correcting graph matching problems and to approximate the graph edit distance of two graphs. However, the memory requirements and execution times of this method are respectively proportional to (n + m)~2 and (n + m)~3 where n and m are the order of the graphs. Subsequent developments reduced these complexities. However, these improvements are valid only under some constraints on the parameters of the graph edit distance. We propose in this paper a new formulation of the bipartite graph matching algorithm designed to solve efficiently the associated graph edit distance problem. The resulting algorithm requires O(nm) memory space and O(min(n, m)~2 max(n, m)) execution times.
机译:二分图匹配算法越来越广泛地用于解决纠错图匹配问题和估计两个图的编辑距离。但是,该方法的内存需求和执行时间分别与(n + m)〜2和(n + m)〜3成比例,其中n和m是图的顺序。随后的发展减少了这些复杂性。但是,这些改进仅在图形编辑距离的参数受某些约束的情况下有效。我们在本文中提出了一种二部图匹配算法的新公式,旨在有效解决相关的图编辑距离问题。生成的算法需要O(nm)的存储空间和O(min(n,m)〜2 max(n,m))执行时间。

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