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  Towards the Inference of Graphs on Ordered Vertexes

Zien, A., Raetsch, G., & Ong, C.(2006). Towards the Inference of Graphs on Ordered Vertexes (150).

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 Creators:
Zien, A1, Author           
Raetsch, G1, Author           
Ong, CS1, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We propose novel methods for machine learning of structured output spaces. Specifically, we consider outputs which are graphs with vertices that have a natural order. We consider the usual adjacency matrix representation of graphs, as well as two other representations for such a graph: (a) decomposing the graph into a set of paths, (b) converting the graph into a single sequence of nodes with labeled edges. For each of the three representations, we propose an encoding and decoding scheme. We also propose an evaluation measure for comparing two graphs.

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 Dates: 2006-08
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 150
BibTex Citekey: 4133
 Degree: -

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