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A New Error-Correcting Distance for Attributed Relational Graph Problems

机译:属性关系图问题的一种新的纠错距离

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摘要

In this paper a new distance for attributed relational graphs is proposed. The main idea of the new algorithm is to decompose the graphs to be matched into smaller subgraphs. The matching process is then done at the level of the decomposed subgraphs based on the concept of error-correcting transformations. The distance between two graphs is found to be the minimum of a weighted bipartite graph constructed from the decomposed subgraphs. The average computational complexity of the proposed distance is found to be O(N~4), which is much better than many techniques.
机译:本文提出了一种新的属性关系图距离。新算法的主要思想是将要匹配的图分解为较小的子图。然后基于纠错变换的概念在分解的子图的级别上完成匹配过程。发现两个图之间的距离是从分解的子图构造的加权二部图的最小值。提出的距离的平均计算复杂度为O(N〜4),比许多技术要好得多。

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