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• Efficient Synthetic Network Generation via Latent Embedding Reconstruction
  2026
• Latent space models for grouped multiplex networks
  2025
• Network cross-validation by edge sampling
  2016
• Generalized linear models with low rank effects for network data
  2017
• Link prediction for egocentrically sampled networks
  2018
• A Flexible Generative Framework for Graph-based Semi-supervised Learning
  2019
• High-dimensional Gaussian graphical model for network-linked data
  2019
• Fast Network Community Detection with Profile-Pseudo Likelihood Methods
  2020
• Latent space models for multiplex networks with shared structure
  2020
• Conformal Prediction for Network-Assisted Regression
  2023
• Flexible Modeling of Information Diffusion on Networks with Statistical Guarantees
  2024