2 citations · 2 across the 1 of their papers we have counts for
9 papers
Network comparison and the within-ensemble graph distance
Harrison Hartle, Brennan Klein, Stefan McCabe +4
Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem…
Detecting structural perturbations from time series with deep learning
Edward Laurence, Charles Murphy, Guillaume St-Onge +2
Small disturbances can trigger functional breakdowns in complex systems. A challenging task is to infer the structural cause of a disturbance in a networked system, soon enough to…
Threefold way to the dimension reduction of dynamics on networks: an application to synchronization
Vincent Thibeault, Guillaume St-Onge, Louis J. Dubé +1
Several complex systems can be modeled as large networks in which the state of the nodes continuously evolves through interactions among neighboring nodes, forming a high-dimension…
Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks
Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2
Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gathe…
Social confinement and mesoscopic localization of epidemics on networks
Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most mod…
Inference for growing trees
George T. Cantwell, Guillaume St-Onge, Jean-Gabriel Young
One can often make inferences about a growing network from its current state alone. For example, it is generally possible to determine how a network changed over time or pick among…