A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation

no code implementations • NeurIPS 2012 • Aaron J. Defazio, Tiberio S. Caetano

We consider the case where the structure of the graph to be reconstructed is known to be scale-free.