Representing data using graphs: A sparse signal approximation view
Graph driven machine learning has seen a surge of interest in the past few years with several applications in social sciences, biology, and network analysis, to name a few. However, in some scenarios, no graph is given a priori and one one has to infer and construct a graph to fit the data given. Read more