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Gklambauer (talk | contribs) m "molecule kernels" placed such that they belong to chemoinformatics (not to bioinformatics) |
not all molecule kernels are graph kernels |
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|url=http://jmlr.csail.mit.edu/papers/volume11/vishwanathan10a/vishwanathan10a.pdf
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Graph kernels can be intuitively understood as functions measuring the similarity of pairs of graphs. They allow [[Kernel trick|kernelized]] learning algorithms such as [[support vector machine]]s to work directly on graphs, without having to do [[feature extraction]] to transform them to fixed-length, real-valued [[feature vector]]s. They find applications in [[bioinformatics]], in [[chemoinformatics]] (as
Graph kernels were first described in 2002 by R. I. Kondor and [[John Lafferty]]<ref>{{cite conference
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