Skip to content

nlskrg/optimal_assignment_kernels

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
lib
 
 
src
 
 
 
 
 
 
 
 
 
 

Optimal Assignment Kernels

Source code for the paper On Valid Optimal Assignment Kernels and Applications to Graph Classification, Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson, NIPS 2016.

Usage

The graph kernels contained in this package can be computed via a command line interface. Run the shell script kkernel to see a list of all available kernels and parameters.

Example

The following command computes the Weisfeiler-Lehman optimal assignment kernel with 0 to 4 refinement steps for the data set ENZYMES:

./kkernel -d ENZYMES wloa -h 0,1,2,3,4

For each value of h the kernel matrix is computed and stored in the directory gram using the LIBSVM file format.

Building from source

Run ant to build kgraph.jar from source.

Data sets

The repository contains the data set ENZYMES only. Further data sets are available from the website Benchmark Data Sets for Graph Kernels. Please note that in our experimental comparison the edge labels, if present, were ignored. In order to reproduce the published results, please delete the files DS_edge_labels.txt, where DS is the name of the data set.

Terms and conditions

When using our code please cite:

@InCollection{NIPS2016_6166,
  title                    = {On Valid Optimal Assignment Kernels and Applications to Graph Classification},
  author                   = {Kriege, Nils M. and Giscard, Pierre-Louis and Wilson, Richard},
  booktitle                = {Advances in Neural Information Processing Systems 29},
  publisher                = {Curran Associates, Inc.},
  year                     = {2016},
  editor                   = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
  pages                    = {1623--1631}
}

Contact information

If you have any questions, please contact Nils Kriege.

Links

A Matlab implementation of the Weisfeiler-Lehman optimal assignment kernel is available from Matlab File Exchange.

About

Source code for the paper "On Valid Optimal Assignment Kernels and Applications to Graph Classification", Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson, NIPS 2016.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published