Graph structure is a powerful framework for the characterization of interaction between entities. In the context of graph signal processing, interpolation methods are based on the smoothness ...

Signals defined on a network or a graph are often prone to errors due to missing data and noise. In order to restore the graph signal, interpolation and denoising are two necessary steps along with ...