首页> 外文会议>International Symposium on Algorithms and Computation(ISAAC 2004); 20041220-22; Hong Kong(CN) >Structural Similarity in Graphs A Relaxation Approach for Role Assignment
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Structural Similarity in Graphs A Relaxation Approach for Role Assignment

机译:图中的结构相似性角色分配的放松方法

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Standard methods for role assignment partition the vertex set of a graph in such a way that vertices in the same class can be considered to have equivalent roles in the graph. Several classes of equivalence relations such as regular equivalence and equitable partitions have been proposed for role assignment, but they all suffer from the strictness of classifying vertices into being either equivalent or not. It is an open problem how to allow for varying degrees of similarity. Proposals include ad-hoc algorithmic approaches and optimization approaches which are computationally hard. In this paper we introduce the concept of structural similarity by relaxation of equitable partitions, thus providing a theoretical foundation for similarity measures which enjoys desirable properties with respect to existence, structure, and tractability.
机译:角色分配的标准方法以一种方式对图的顶点集进行划分,以使同一类中的顶点可以被认为在图中具有等效的角色。对于角色分配,已经提出了几类等价关系,例如规则等价和等价划分,但是它们都遭受了将顶点分类为等价或不等的严格性。如何允许不同程度的相似性是一个悬而未决的问题。提议包括计算困难的临时算法方法和优化方法。在本文中,我们通过放宽等分隔板来介绍结构相似性的概念,从而为相似性度量提供理论基础,该相似性度量在存在性,结构和可延展性方面均具有理想的属性。

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