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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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BioinformaticsFeature extractionFeature vectorGraph (abstract data type)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs
Disconnected graphs are very common in the real world. However, most existing methods for graph similarity focus on connected… 
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… 
2018
2018
Discriminative Graph Autoencoder
With the abundance of graph-structured data in various applications, graph representation learning has become an effective… 
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
A Ontology Kernel - A Convolution Kernel for Ontology Alignment
Every ontology entity such as a concept or a property has its own structural information represented as a graph due to the… 
2014
2014
Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel
We consider the problem of labeling actors in social networks where the labels correspond to membership in specific interest… 
2013
2013
Incorporating stereo information within the graph kernel framework
Molecules being often described using a graph representation, graph kernels provide an interesting framework which allows to… 
2010
2010
Restauration et reconnaissance des formes dans des images avec bruit de Poisson : application à l'analyse des neurones en microscopies de fluorescence. (Restauration and shape recognition inside…
Dans le cadre de l'etude du cerveau, les biologistes et les medecins s'interessent a de petites excroissances sur les dendrites… 
2009
2009
Wavelet Assignment Graph Kernel for Drug Virtual Screening
We propose a kernel function called Wavelet Assignment graph kernel for graph classification which has applications in drug… 
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… 
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