Network classification with applications to brain connectomics

1 code implementation • 27 Jan 2017 • Jesús D. Arroyo-Relión, Daniel Kessler, Elizaveta Levina, Stephan F. Taylor

Our goal is to design a classification method that uses both the individual edge information and the network structure of the data in a computationally efficient way, and that can produce a parsimonious and interpretable representation of differences in brain connectivity patterns between classes.

General Classification Graph Classification