63 citations · 237 across the 33 of their papers we have counts for
4 papers · 1 filter
Time-varying Signals Recovery via Graph Neural Networks
Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal +3
The recovery of time-varying graph signals is a fundamental problem with numerous applications in sensor networks and forecasting in time series. Effectively capturing the spatio-t…
Reconstruction of Time-varying Graph Signals via Sobolev Smoothness
Jhony H. Giraldo, Arif Mahmood, Belmar Garcia-Garcia +2
Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such…
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases
Jhony H. Giraldo, Thierry Bouwmans
The mathematical modeling of infectious diseases is a fundamental research field for the planning of strategies to contain outbreaks. The models associated with this field of study…
Blue-Noise Sampling on Graphs
Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo +1
In the area of graph signal processing, a graph is a set of nodes arbitrarily connected by weighted links; a graph signal is a set of scalar values associated with each node; and s…