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ICPR
2008
IEEE

A matrix alignment approach for link prediction

14 years 4 months ago
A matrix alignment approach for link prediction
This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictive features of the link structure by aligning the adjacency matrix of a network with weighted similarity matrices computed from node attributes and neighborhood topological features. Experimental results on a variety of network data have demonstrated the effectiveness of this approach.
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-
Added 05 Nov 2009
Updated 05 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian
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