학술논문

Computing the Barycenter Graph by Means of the Graph Edit Distance
Document Type
Conference
Source
2010 20th International Conference on Pattern Recognition Pattern Recognition (ICPR), 2010 20th International Conference on. :962-965 Aug, 2010
Subject
Computing and Processing
Databases
Approximation algorithms
Approximation methods
Sorting
Pattern recognition
Upper bound
Entropy
Language
ISSN
1051-4651
Abstract
The barycenter graph has been shown as an alternative to obtain the representative of a given set of graphs. In this paper we propose an extension of the original algorithm which makes use of the graph edit distance in conjunction with the weighted mean of a pair of graphs. Our main contribution is that we can apply the method to attributed graphs with any kind of labels in both the nodes and the edges, equipped with a distance function less constrained than in previous approaches. Experiments done on four different datasets support the validity of the method giving good approximations of the barycenter graph.