29 citations · 47 across the 8 of their papers we have counts for
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cs.SI2022★ 1 cited
Random Geometric Graph: Some recent developments and perspectives
Quentin Duchemin, Yohann de Castro
The Random Geometric Graph (RGG) is a random graph model for network data with an underlying spatial representation. Geometry endows RGGs with a rich dependence structure and often…
cs.SI2020
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
We introduce the Markov Stochastic Block Model (MSBM): a growth model for community based networks where node attributes are assigned through a Markovian dynamic. We rely on HMMs'…