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On the Computation of the Common Labelling of a Set of Attributed Graphs

机译:关于一组属性图的公共标签的计算

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In some methodologies, it is needed a consistent common labelling between the vertices of a set of graphs, for instance, to compute a representative of a set of graphs. This is a NP-problem with an exponential computational cost depending on the number of nodes and the number of graphs. The aim of this paper is twofold. On one hand, we aim to establish a technical methodology to define this problem for the present and further research. On the other hand, we present two sub-optimal algorithms to compute the labelling between a set of graphs. Results show that our new algorithms are able to find a consistent common labelling while reducing, most of the times, the mean distance of the AG set.
机译:在一些方法中,例如,在一组图的顶点之间需要一致的通用标记,以计算一组图的代表。这是一个NP问题,其计算量取决于节点数和图数。本文的目的是双重的。一方面,我们旨在建立一种技术方法来定义此问题,以供当前和进一步研究之用。另一方面,我们提出了两种次优算法来计算一组图之间的标记。结果表明,我们的新算法能够找到一致的通用标签,同时大多数时候减少了AG集的平均距离。

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