Supervised methods for multi-relational link prediction

Darcy Davis; Ryan N. Lichtenwalter; Nitesh V. Chawla

doi:10.1007/s13278-012-0068-6

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Supervised methods for multi-relational link prediction

Darcy Davis Ryan N. Lichtenwalter Nitesh V. Chawla

Year: 2012 Journal: Social Network Analysis and Mining Vol: 3 (2)Pages: 127-141 Publisher: Springer Science+Business Media

DOI: 10.1007/s13278-012-0068-6

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Keywords:

Computer science Link (geometry) Artificial intelligence Machine learning Dependency (UML) Task (project management) Extension (predicate logic) Complex network Supervised learning Measure (data warehouse) Data mining Artificial neural network

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Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Supervised methods for multi-relational link prediction

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