A Method for Classifying Vertices of Labeled Graphs Applied to Knowledge Discovery from Molecules

Frédéric Pennerath 1 Géraldine Polaillon 2 Amedeo Napoli 3
3 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The article proposes a generic method to classify vertices or edges of a labeled graph. More precisely the method computes a confidence index for each vertex v or edge e to be a member of a target class by mining the topological environments of v or e. The method contributes to knowledge discovery since it exhibits for each edge or vertex an informative environnement that explains the found confidence. When applied to the problem of discovering strategic bonds in molecules, the method correctly classifies most of the bonds while providing relevant explanations to chemists. The developed algorithm GemsBond outperforms both speed and scalability of the learning method that has previously been applied to the same application while giving similar results.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00344753
Contributor : Sébastien van Luchene <>
Submitted on : Friday, December 5, 2008 - 3:58:43 PM
Last modification on : Wednesday, July 10, 2019 - 1:18:19 AM

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Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli. A Method for Classifying Vertices of Labeled Graphs Applied to Knowledge Discovery from Molecules. ECAI'2008, Jul 2008, Patras, Greece. pp.147-151, ⟨10.3233/978-1-58603-891-5-147⟩. ⟨hal-00344753⟩

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