50 citations · 96 across the 8 of their papers we have counts for
Showing eess.SPShow all
2 papers · 1 filter
eess.SP2023★ 9 cited
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…
eess.SP2022★ 8 cited
Recovery of Missing Sensor Data by Reconstructing Time-varying Graph Signals
Anindya Mondal, Mayukhmali Das, Aditi Chatterjee +1
Wireless sensor networks are among the most promising technologies of the current era because of their small size, lower cost, and ease of deployment. With the increasing number of…