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What and Who

Graphlet Spectrum

Nino Shervashidze
MPI Biological Cybernetics, Tuebingen
Talk
AG 1, AG 3, AG 5, SWS, AG 4, RG1, MMCI  
AG Audience
English

Date, Time and Location

Monday, 20 September 2010
14:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

Current graph kernels have two limitations: graph kernels based on

counting particular types of subgraphs ignore the relative position of
these subgraphs to each other, while graph kernels based on algebraic
methods are limited to graphs without node labels.
In this work we present the graphlet spectrum, a system of graph
invariants derived by means of group representation theory that capture
information about the number as well as the position of labeled
subgraphs in a given graph. In our experimental evaluation the graphlet
spectrum outperforms several state-of-the-art graph kernels in accuracy.

Contact

Kurt Mehlhorn
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Kurt Mehlhorn, 09/17/2010 10:56
Kurt Mehlhorn, 09/15/2010 09:51 -- Created document.