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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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Bioinformatics
Feature extraction
Feature vector
Graph (abstract data type)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity
Yunsheng Bai
,
Haoyang Ding
,
+5 authors
Wei Wang
arXiv.org
2019
Corpus ID: 91184600
We introduce a novel approach to graph-level representation learning, which is to embed an entire graph into a vector space where…
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2019
2019
Graph classification with kernels, embeddings and convolutional neural networks
Monica Golahalli Seenappa
,
Katerina Potika
,
Petros Potikas
2019
Corpus ID: 212703225
—In the graph classification problem, given is a family of graphs and a group of different categories, and we aim to classify all…
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2017
2017
KERNEL GRAPH CONVOLUTIONAL NEURAL NETS
2017
Corpus ID: 20054618
Graph kernels have been successfully applied to many graph classification problems. Typically, a kernel is first designed, and…
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2017
2017
Graph-based features for machine learning driven code optimization
Anton Kindestam
2017
Corpus ID: 40207482
In this paper we present a method of using the Shortest-Path Graph Kernel, on graph-based features of computer programs, to train…
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2016
2016
An error-tolerant graph matching model for hierarchical graphs with topological node embedding in large scale visual retrieval
Pau Riba
2016
Corpus ID: 12419867
Graph-based representations are effective tools to capture structural information from graphical elements. However, retrieving a…
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2013
2013
Incorporating stereo information within the graph kernel framework
Pierre-Anthony Grenier
,
L. Brun
,
D. Villemin
2013
Corpus ID: 126090339
Molecules being often described using a graph representation, graph kernels provide an interesting framework which allows to…
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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…
F. Dupe
2010
Corpus ID: 38210672
Dans le cadre de l'etude du cerveau, les biologistes et les medecins s'interessent a de petites excroissances sur les dendrites…
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2009
2009
Wavelet Assignment Graph Kernel for Drug Virtual Screening
Soumya T Soman
,
Soman K. P.
International Conference on Advances in Recent…
2009
Corpus ID: 41443833
We propose a kernel function called Wavelet Assignment graph kernel for graph classification which has applications in drug…
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Review
2009
Review
2009
Graph kernel extensions and experiments with application to molecule classification, lead hopping and multiple targets
Anthony A. Demco
2009
Corpus ID: 27130752
The discovery of drugs that can effectively treat disease and alleviate pain is one of the core challenges facing modern medicine…
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2008
2008
CPM : A Graph Pattern Matching Kernel with Diffusion for Accurate Graph Classification
Aaron M. Smalter
,
Jun Huan
,
G. Lushington
2008
Corpus ID: 17520486
Graph data mining is an active research area. Graphs are general modeling tools to organize information from heterogenous sources…
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