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  The skew spectrum of graphs

Kondor, R., & Borgwardt, K. (2008). The skew spectrum of graphs. In W. Cohen, A. McCallum, & S. Roweis (Eds.), ICML '08: Proceedings of the 25th international conference on Machine (pp. 496-503). New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C847-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-431A-5
Genre: Conference Paper

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 Creators:
Kondor, R, Author
Borgwardt, K1, Author              
Cohen, Editor
W.W., Editor
McCallum, A., Editor
Roweis, S.T., Editor
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: The central issue in representing graph-structured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We present a new system of invariant graph features which we call the skew spectrum of graphs. The skew spectrum is based on mapping the adjacency matrix of any (weigted, directed, unlabeled) graph to a function on the symmetric group and computing bispectral invariants. The reduced form of the skew spectrum is computable in O(n3) time, and experiments show that on several benchmark datasets it can outperform state of the art graph kernels.

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 Dates: 2008-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/1390156.1390219
BibTex Citekey: KondorB2008
 Degree: -

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Title: Twenty-Fifth International Conference on Machine Learning (ICML 2008)
Place of Event: Helsinki, Finland
Start-/End Date: 2008-07-05 - 2008-07-08

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Title: ICML '08: Proceedings of the 25th international conference on Machine
Source Genre: Proceedings
 Creator(s):
Cohen, WW, Editor
McCallum, A, Editor
Roweis, ST, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 496 - 503 Identifier: ISBN: 978-1-605-58205-4