1.6k citations · 2.4k across the 37 of their papers we have counts for
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physics.soc-ph2018★ 32 cited
Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
Guillaume St-Onge, Jean-Gabriel Young, Laurent Hébert-Dufresne +1
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network s…
physics.soc-ph2018★ 32 cited
Universality of the stochastic block model
Jean-Gabriel Young, Guillaume St-Onge, Patrick Desrosiers +1
Mesoscopic pattern extraction (MPE) is the problem of finding a partition of the nodes of a complex network that maximizes some objective function. Many well-known network inferenc…