CalculateEdgeHistGaussKernel: Gaussian RBF kernel between edge label histograms
In graphkernels: Graph Kernels
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function calculates a kernel matrix of the Gaussian RBF kernel
K_EH,G between edge label histograms.
Usage
1
Arguments
G
a list of igraph graphs
par
sigma in the Gaussian RBF kernel
Value
a kernel matrix of the Gaussian RBF kernel K_EH,G
between edge label histograms
Author(s)
Mahito Sugiyama
References
Sugiyama, M., Borgwardt, K. M.: Halting in Random Walk
Kernels, Advances in Neural Information Processing Systems
(NIPS 2015), 28, 1630-1638 (2015)
https://papers.nips.cc/paper/5688-halting-in-random-walk-kernels.pdf.
Examples
1
2
data(mutag)
K <- CalculateEdgeHistGaussKernel(mutag, .1)
graphkernels documentation built on Dec. 20, 2021, 9:07 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
This function calculates a kernel matrix of the Gaussian RBF kernel K_EH,G between edge label histograms.
Usage
1 |
Arguments
G |
a list of |
par |
sigma in the Gaussian RBF kernel |
Value
a kernel matrix of the Gaussian RBF kernel K_EH,G between edge label histograms
Author(s)
Mahito Sugiyama
References
Sugiyama, M., Borgwardt, K. M.: Halting in Random Walk Kernels, Advances in Neural Information Processing Systems (NIPS 2015), 28, 1630-1638 (2015) https://papers.nips.cc/paper/5688-halting-in-random-walk-kernels.pdf.
Examples
1 2 | data(mutag)
K <- CalculateEdgeHistGaussKernel(mutag, .1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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