385 citations · 1.8k across the 36 of their papers we have counts for
5 papers · 1 filter
Joint inference of multiple graphs with hidden variables from stationary graph signals
Samuel Rey, Andrei Buciulea, Madeline Navarro +2
Learning graphs from sets of nodal observations represents a prominent problem formally known as graph topology inference. However, current approaches are limited by typically focu…
Network Topology Inference from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
We address the problem of identifying a graph structure from the observation of signals defined on its nodes. Fundamentally, the unknown graph encodes direct relationships between…
Network Topology Identification from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
Network topology inference is a cornerstone problem in statistical analyses of complex systems. In this context, the fresh look advocated here permeates benefits from convex optimi…
Reconstruction of Graph Signals through Percolation from Seeding Nodes
Santiago Segarra, Antonio G. Marques, Geert Leus +1
New schemes to recover signals defined in the nodes of a graph are proposed. Our focus is on reconstructing bandlimited graph signals, which are signals that admit a sparse represe…
Sampling of graph signals with successive local aggregations
Antonio G. Marques, Santiago Segarra, Geert Leus +1
A new scheme to sample signals defined in the nodes of a graph is proposed. The underlying assumption is that such signals admit a sparse representation in a frequency domain relat…