9 citations · 36 across the 14 of their papers we have counts for
3 papers · 1 filter
Supervised Linear Regression for Graph Learning from Graph Signals
Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee +1
We propose a supervised learning approach for predicting an underlying graph from a set of graph signals. Our approach is based on linear regression. In the linear regression model…
Predicting Graph Signals using Kernel Regression where the Input Signal is Agnostic to a Graph
Arun Venkitaraman, Saikat Chatterjee, Peter Händel
We propose a kernel regression method to predict a target signal lying over a graph when an input observation is given. The input and the output could be two different physical qua…
Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing
Arun Venkitaraman, Saikat Chatterjee, Peter Händel
We propose Hilbert transform (HT) and analytic signal (AS) construction for signals over graphs. This is motivated by the popularity of HT, AS, and modulation analysis in conventio…