Learning a Distance Metric from a Network

no code implementations • NeurIPS 2011 • Blake Shaw, Bert Huang, Tony Jebara

To better model and understand these networks, we present structure preserving metric learning (SPML), an algorithm for learning a Mahalanobis distance metric from a network such that the learned distances are tied to the inherent connectivity structure of the network.

Graph Embedding Metric Learning