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An Edit Distance Between Graph Correspondences

机译:图对应之间的编辑距离

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摘要

The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it has the advantage of being simple in computation, it does not consider the structures that the correspondences relate. In this paper, we propose a new distance between a pair of graph correspondences based on the concept of the edit distance, called Correspondence Edit Distance. This distance takes into consideration not only the mapped elements of the correspondences, but also the attributes on the nodes and edges of the graphs being mapped. In addition to its definition, we also present an efficient procedure for computing the correspondence edit distance in a special case. In the experimental validation, the results delivered using the Correspondence Edit Distance are contrasted against the ones of the Hamming Distance in a case of finding the weighted means between a pair of graph correspondences.
机译:汉明距离已被广泛用于计算两个结构(即点,字符串或图的集合)之间的一对对应关系(也称为标记或匹配)的相异性。尽管它具有计算简单的优点,但是它没有考虑对应关系所涉及的结构。在本文中,我们基于编辑距离的概念提出了一对图对应关系之间的新距离,称为对应编辑距离。该距离不仅考虑了对应关系的映射元素,而且还考虑了要映射的图的节点和边缘上的属性。除了其定义之外,我们还提出了一种在特殊情况下计算对应编辑距离的有效程序。在实验验证中,在找到一对图对应关系之间的加权均值的情况下,将使用“对应编辑距离”传递的结果与“汉明距离”的结果进行对比。

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