Graph kernel
id:
graph-kernel-321-1405162
title:
Graph kernel
text:
In structure mining, a graph kernel is a kernel function that computes an inner product on graphs. Graph kernels can be intuitively understood as functions measuring the similarity of pairs of graphs. They allow kernelized learning algorithms such as support vector machines to work directly on graphs, without having to do feature extraction to transform them to fixed-length, real-valued feature vectors. They find applications in bioinformatics, in chemoinformatics, and in social network analysis
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Graph_kernel
date created:
date modified:
2023-11-28T12:46:57Z
main entity:
{"identifier":"Q11731931","url":"https://www.wikidata.org/entity/Q11731931"}
image:
fields total:
13
integrity:
13