Scalable kernels for graphs with continuos attributes

Main content

Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten Borgwardt

Scalable kernels for graphs with continuos attributes

The files including code and data are available here (ZIP, 3.8 MB).

Code

A MATLAB implementation of the GraphHopper kernel as proposed in [1]. An implementation of the propagation kernel as presented in [2] is also included. Please, refer to the README (TXT, 3 KB) file for further information on usage and installation.

Datasets

The datasets used in the paper are also included. More information on the data is available in the README (TXT, 3 KB) file. 

Publications

 

[1]  

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Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne and Karsten Borgwardt
Scalable kernels for graphs with continuous attributes,
Advances in Neural Information Processing Systems 26 (NIPS 2013). (Online)

@incollection{NIPS2013_5155,
title = {Scalable kernels for graphs with continuous attributes},
author = {Feragen, Aasa and Kasenburg, Niklas and Petersen, Jens and de Bruijne, Marleen and Borgwardt, Karsten},
booktitle = {Advances in Neural Information Processing Systems 26},
editor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {216--224},
year = {2013},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/5155-scalable-kernels-for-graphs-with-continuous-attributes.pdf}
}

[2]

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M. Neumann, N. Patricia, R. Garnett, and K. Kersting.
Efficient graph kernels by randomization.
ECML/PKDD (1), pages 378–393, 2012 (Online)

@Inbook{Neumann2012,
author="Neumann, Marion
and Patricia, Novi
and Garnett, Roman
and Kersting, Kristian",
editor="Flach, Peter A.
and De Bie, Tijl
and Cristianini, Nello",
title="Efficient Graph Kernels by Randomization",
bookTitle="Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I",
year="2012",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="378--393",
isbn="978-3-642-33460-3",
doi="10.1007/978-3-642-33460-3_30",
url="http://dx.doi.org/10.1007/978-3-642-33460-3_30"
}

 
 
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