Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning

Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados

This paper extends the recently developed framework of multilinear kernel regression and imputation via manifold learning (MultiL-KRIM) to impute time-varying edge flows in a graph…