This paper introduces a novel approach to Self-Organizing Maps which is capable of processing graphs such that the context of vertices and sub-graphs are considered in the mapping process. The result is that any vertex in a graph is mapped onto an n-dimensional map depending on its label and the graph structure as a whole. Experimental results demonstrate that the proposed approach achieves the desired outcomes.

Contextual Processing of Graphs Using Self-Organizing Maps

SPERDUTI, ALESSANDRO;
2005

Abstract

This paper introduces a novel approach to Self-Organizing Maps which is capable of processing graphs such that the context of vertices and sub-graphs are considered in the mapping process. The result is that any vertex in a graph is mapped onto an n-dimensional map depending on its label and the graph structure as a whole. Experimental results demonstrate that the proposed approach achieves the desired outcomes.
2005
Proceedings ESANN 2005, 13th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 27-29, 2005
2930307056
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1427697
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