Structural Similarity in Graphs (A Relaxation Approach for Role Assignment)
نویسندگان
چکیده
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.
منابع مشابه
Chemical Similarity Searching with neural graph matching methods
The thesis examines three novel structural similarity methods that employ a network of simple auto-associative neural networks for storing structural information about databases of molecular graphs. This information can be used to discover similarities from a query graph to any of the graphs in the model database. The fast learning and recall ability of the neural network facilitates efficient ...
متن کاملDistance Patterns in Structural Similarity
Similarity of edge labeled graphs is considered in the sense of minimum squared distance between corresponding values. Vertex correspondences are established by isomorphisms if both graphs are of equal size and by subisomorphisms if one graph has fewer vertices than the other. Best fit isomorphisms and subisomorphisms amount to solutions of quadratic assignment problems and are computed exactly...
متن کاملContributions of the Symposium on Network Analysis in Natural Sciences and Engineering
After a general introduction to the emerging field of network analysis, we will focus on the analysis of group structure in dynamic networks. By defining groups based on similarity of neighborhoods rather than local density, nodes can be associated to roles representing structural positions in a network. A recently proposed relaxation of discrete role assignment allows for varying degrees of me...
متن کاملGraph matching by relaxation of fuzzy assignments
Graphs are very powerful and widely used representational tools in computer applications. In this paper, we present a relaxation approach to (sub)graph matching based on a fuzzy assignment matrix. The algorithm has a computational complexity of ( 2 ) where and are the number of nodes in the two graphs being matched, and can perform both exact and inexact matching. To illustrate the performance ...
متن کاملGMO: A Graph Matching for Ontologies
Ontology matching is an important task to achieve interoperation between semantic web applications using different ontologies. Structural similarity plays a central role in ontology matching. However, the existing approaches rely heavily on lexical similarity, and they mix up lexical similarity with structural similarity. In this paper, we present a graph matching approach for ontologies, calle...
متن کامل