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cs.SI2021
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…
stat.ME2021
Learning Graphs from Smooth and Graph-Stationary Signals with Hidden Variables
Andrei Buciulea, Samuel Rey, Antonio G. Marques
Network-topology inference from (vertex) signal observations is a prominent problem across data-science and engineering disciplines. Most existing schemes assume that observations…