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12/04/2022
Joint graph learning from Gaussian observations in the presence of hidden nodes
Graph learning problems are typically approached by focusing on learning...
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11/10/2021
Learning Graphs from Smooth and Graph-Stationary Signals with Hidden Variables
Network-topology inference from (vertex) signal observations is a promin...
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10/05/2021
Joint inference of multiple graphs with hidden variables from stationary graph signals
Learning graphs from sets of nodal observations represents a prominent p...
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10/02/2021
A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
Graph convolutional neural networks (GCNNs) are popular deep learning ar...
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09/24/2021
Untrained Graph Neural Networks for Denoising
A fundamental problem in signal processing is to denoise a signal. While...
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08/02/2019