Graphkernels: R and Python packages for graph comparison.

ABSTRACT: Summary:Measuring the similarity of graphs is a fundamental step in the analysis of graph-structured data, which is omnipresent in computational biology. Graph kernels have been proposed as a powerful and efficient approach to this problem of graph comparison. Here we provide graphkernels, the first R and Python graph kernel libraries including baseline kernels such as label histogram based kernels, classic graph kernels such as random walk based kernels, and the state-of-the-art Weisfeiler-Lehman graph kernel. The core of all graph kernels is implemented in C ++ for efficiency. Using the kernel matrices computed by the package, we can easily perform tasks such as classification, regression and clustering on graph-structured samples. Availability and implementation:The R and Python package

SUBMITTER: Sugiyama M 

PROVIDER: S-EPMC5860361 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature