7 citations · 14 across the 11 of their papers we have counts for
4 papers · 1 filter
Robust Community Detection for Noisy Networks with Covariates: Application to Functional Brain Networks
Zeyu Hu, Frederick H. Xu, Suprateek Kundu +4
Community detection is fundamental to understanding the modular organization in functional brain networks, yet noise in neuroimaging-derived networks and auxiliary node-level covar…
Gaussian Graphical Models for Functional Connectivity Analysis: A Statistical Review with Applications to Alzheimer's Disease
Panpan Zhang, Shiying Xiao, W. Hudson Robb +3
Functional connectivity analysis is an important tool for characterizing interactions among brain regions, particularly in studies of neurodegenerative disorders such as Alzheimer'…
Covariate Connectivity Combined Clustering for Weighted Networks
Zeyu Hu, Wenrui Li, Jun Yan +1
Community detection is a central task in network analysis, with applications in social, biological, and technological systems. Traditional algorithms rely primarily on network topo…
CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model
Sydney Louit, Evan Clark, Alexander Gelbard +3
We propose a novel network generative model extended from the standard stochastic block model by concurrently utilizing observed node-level information and accounting for network-e…