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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… 
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Related topics

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BioinformaticsFeature extractionFeature vectorGraph (abstract data type)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity
We introduce a novel approach to graph-level representation learning, which is to embed an entire graph into a vector space where… 
2016
2016
Classifying Mutants with Decomposition Kernel
The paper deals with the problem of reducing the cost of mutation testing using artificial intelligence methods. The presented… 
2015
2015
Environment selection and hierarchical place recognition
As robots continue to create long-term maps, the amount of information that they need to handle increases over time. In terms of… 
2012
2012
Inexact Graph Matching through Graph Coverage
In this paper we propose a novel inexact graph matching procedure called graph coverage, to be used in supervised and… 
2010
2010
An application of kernel methods to gene cluster temporal meta-analysis
2009
2009
Multiple label prediction for image annotation with multiple Kernel correlation models
Image annotation is a challenging task that allows to correlate text keywords with an image. In this paper we address the problem… 
2007
2007
Weighted k-Nearest-Neighbor Techniques for High Throughput Screening Data
The k-nearest neighbors (knn) is a simple but effective method of classification. In this paper we present an extended version of… 
2007
2007
A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition
In this paper, a graph classification approach based on a multi-objective genetic algorithm is presented. The method consists in… 
2006
2006
Graph Kernels versus Graph Representations : a Case Study in Parse Ranking
Recently, several kernel functions designed for a data that consists of graphs have been presented. In this paper, we concentrate… 
2005
2005
Globally convergent range image registration by graph kernel algorithm
Automatic range image registration without any knowledge of the viewpoint requires identification of common regions across… 
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