385 citations · 1.8k across the 36 of their papers we have counts for
4 papers · 2 filters
Generative Adversarial Networks For Graph Data Imputation From Signed Observations
Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri +1
We study the problem of missing data imputation for graph signals from signed one-bit quantized observations. More precisely, we consider that the true graph data is drawn from a d…
Estimating Network Processes via Blind Identification of Multiple Graph Filters
Yu Zhu, Fernando J. Iglesias, Antonio G. Marques +1
This paper studies the problem of jointly estimating multiple network processes driven by a common unknown input, thus effectively generalizing the classical blind multi-channel id…
An Underparametrized Deep Decoder Architecture for Graph Signals
Samuel Rey, Antonio G. Marques, Santiago Segarra
While deep convolutional architectures have achieved remarkable results in a gamut of supervised applications dealing with images and speech, recent works show that deep untrained…
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
Luana Ruiz, Fernando Gama, Antonio G. Marques +1
Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these grap…