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

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摘要

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.

论文关键词:Structured objects,Hierarchical models,Graph classes,Graph classification,Graph similarity,Complexity analysis

论文评审过程:Available online 19 April 2007.

论文官网地址:https://doi.org/10.1016/j.amc.2007.04.006