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• Phase transition in the recoverability of network history
  2018
• Universality of the stochastic block model
  2018
• Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
  2018
• Thresholding normally distributed data creates complex networks
  2019
• Inference for growing trees
  2019
• Detecting structural perturbations from time series with deep learning
  2020
• Network comparison and the within-ensemble graph distance
  2020
• Hierarchical team structure and multidimensional localization (or siloing) on networks
  2022