Time-Varying Graph Learning With Constraints on Graph Temporal Variation
A novel framework for learning time-varying graphs from spatiotemporal measurements that can estimate time-varying graphs from a small number of available measurements is proposed and introduces three regularization terms in convex optimization problems that constrain the sparseness of temporal variations of the time-v...