Blind source separation (BSS) is a signal processing subject that has recently been
extended to graph signals. Graph signals that are smooth on their own graphs provide an …

Using smoothness criteria to separate smooth graph signals from their summation is an
approach that has recently been proposed (Mohammadi et al., 2023) and shown to have a …

We present a novel Graph-based debiasing Algorithm for Underreported Data (GRAUD)
aiming at an efficient joint estimation of event counts and discovery probabilities across …

The effective monitoring of urban water distribution networks (WDNs) relies heavily on
pressure sensor placement. Nevertheless, a WDN may consist of hundreds of nodes, and it …

Performing blind signal separation (BSS) from the domain in which source signals have
difference characteristics is an efficient method to recover sources from the recorded mixture …

Using graphs to model irregular information domains is an effective approach to deal with
some of the intricacies of contemporary (network) data. A key aspect is how the data …