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Published in:
2009 | OriginalPaper | Chapter
A Labelled Graph Based Multiple Classifier System
Authors : Wan-Jui Lee, Robert P. W. Duin
Published in: Multiple Classifier Systems
Publisher: Springer Berlin Heidelberg
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In general, classifying graphs with labelled nodes (also known as labelled graphs) is a more difficult task than classifying graphs with unlabelled nodes. In this work, we decompose the labelled graphs into unlabelled subgraphs with respect to the labels, and describe these decomposed subgraphs with the travelling matrices. By utilizing the travelling matrices to calculate the dissimilarity for all pairs of subgraphs with the JoEig approach [6], we can build a base classifier in the dissimilarity space for each label. By combining these label base classifiers with the global structure base classifiers built on dissimilarities of graphs considering the full adjacency matrices and the full travelling matrices, respectively, we can solve the labelled graph classification problem with the multiple classifier system.