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Structural similarity of directed universal hierarchical graphs: A low computational complexity approach

机译:有向通用层次图的结构相似性:一种低计算复杂度的方法

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In the present paper we mainly introduce an efficient approach to measure the structural similarity of so called directed universal hierarchical graphs. We want to underline that directed universal hierarchical graphs can be obtained from generalized trees which are already introduced. In order to classify these graphs, we state our novel graph similarity method. As a main result we notice that our novel algorithm has low computational complexity. (c) 2007 Elsevier Inc. All rights reserved.
机译:在本文中,我们主要介绍一种有效的方法来测量所谓的有向通用层次图的结构相似性。我们要强调的是,可以从已经介绍的广义树中获得有向通用层次图。为了对这些图进行分类,我们陈述了我们新颖的图相似度方法。作为主要结果,我们注意到我们的新算法具有较低的计算复杂度。 (c)2007 Elsevier Inc.保留所有权利。

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