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• Latent space models for grouped multiplex networks
  2025
• Network cross-validation by edge sampling
  2016
• Network classification with applications to brain connectomics
  2017
• Generalized linear models with low rank effects for network data
  2017
• Link prediction for egocentrically sampled networks
  2018
• Hierarchical community detection by recursive partitioning
  2018
• Graph-aware Modeling of Brain Connectivity Networks
  2019
• High-dimensional Gaussian graphical model for network-linked data
  2019
• Simultaneous prediction and community detection for networks with application to neuroimaging
  2020
• Overlapping community detection in networks via sparse spectral decomposition
  2020
• Latent space models for multiplex networks with shared structure
  2020
• Conformal Prediction for Network-Assisted Regression
  2023
• A pseudo-likelihood approach to community detection in weighted networks
  2023
• Flexible Modeling of Information Diffusion on Networks with Statistical Guarantees
  2024