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… (More)
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Topic mentions per year

Topic mentions per year

2003-2017
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Papers overview

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2016
2016
Automatic behavior analysis from video is a major topic in many areas of research, including computer vision, multimedia… (More)
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2013
2013
Object classification is an important issue in multimedia information retrieval. Usually, we can use images from multiple views… (More)
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2012
2012
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity… (More)
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2009
2009
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit… (More)
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Highly Cited
2008
Highly Cited
2008
Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We… (More)
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2008
2008
In the framework of the interactive search in image databases, we are interested in similarity measures able to learn during the… (More)
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Highly Cited
2008
Highly Cited
2008
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper, we propose a graph kernel based approach for the automated extraction of protein-protein interactions (PPI) from… (More)
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Highly Cited
2003
Highly Cited
2003
Recently, kernel methods have become a popular tool for machine learning and data mining. As most ‘real-world’ data is structured… (More)
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Highly Cited
2003
Highly Cited
2003
As most ‘real-world’ data is structured, research in kernel methods has begun investigating kernels for various kinds of… (More)
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