Graph kernel

In structure mining, a domain of learning on structured data objects in machine learning, a graph kernel is a kernel function that computes an inner…

Papers overview

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2016

The paper deals with the problem of reducing the cost of mutation testing using artificial intelligence methods. The presented…

2015

Every ontology entity such as a concept or a property has its own structural information represented as a graph due to the…

2013

Molecules being often described using a graph representation, graph kernels provide an interesting framework which allows to…

2012

In this paper we propose a novel inexact graph matching procedure called graph coverage, to be used in supervised and…

2009

Image annotation is a challenging task that allows to correlate text keywords with an image. In this paper we address the problem…

2009

Text Categorization is used to organize and manage biomedical text databases that are growing at an exponential rate. Feature…

2008

Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of…

2007

In this paper, a graph classification approach based on a multi-objective genetic algorithm is presented. The method consists in…

2007

The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state…

2006

Recently, several kernel functions designed for a data that consists of graphs have been presented. In this paper, we concentrate…