CalculateExponentialRandomWalkKernel: Exponential random walk kernel

In graphkernels: Graph Kernels

Description

This function calculates a kernel matrix of the exponential random walk kernel K_ER.

Usage

CalculateExponentialRandomWalkKernel(G, par)

Arguments

G	a list of igraph graphs
par	a coefficient beta, with which the weight lambda_k for each step k is given as lambda_k = β^k / k!

Value

a kernel matrix of the exponential random walk kernel K_ER

Author(s)

Mahito Sugiyama

References

Gartner, T., Flach, P., Wrobel, S.: On graph kernels: Hardness results and efficient alternatives, Learning Theory and Kernel Machines (LNCS 2777), 129-143 (2003) https://link.springer.com/chapter/10.1007/978-3-540-45167-9_11.

Examples

data(mutag)
K <- CalculateExponentialRandomWalkKernel(mutag[1:5], .1)

graphkernels documentation built on Dec. 20, 2021, 9:07 a.m.