Cover Image

Spectral Clustering on Multilayer Networks with Covariates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Da, Wang, Wanjie, Li, Jialiang
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Community Detection on Inhomogeneous Multilayer Networks with Extreme Sparsity
by: Shen, Tao, et al.
Published: (2026)

Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration
by: Shen, Tao, et al.
Published: (2025)

Network-Adjusted Covariates for Community Detection
by: Hu, Yaofang, et al.
Published: (2023)

Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
by: Agterberg, Joshua, et al.
Published: (2022)

Covariate Connectivity Combined Clustering for Weighted Networks
by: Hu, Zeyu, et al.
Published: (2025)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Inlier Recovery for Robust Registration via Gram-Matrix Overlap
by: Wu, Ruizi, et al.
Published: (2026)

Efficient Proposal-Test-Release for Minimax Optimal Estimation
by: Shen, Tao, et al.
Published: (2026)

Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)

Multilayer Network Regression with Eigenvector Centrality and Community Structure
by: Han, Zhuoye, et al.
Published: (2023)

Change Point Localization and Inference in Dynamic Multilayer Networks
by: Wang, Fan, et al.
Published: (2025)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

A Cepstral Model for Efficient Spectral Analysis of Covariate-dependent Time Series
by: Li, Zeda, et al.
Published: (2024)

Robust High-Dimensional Covariate-Assisted Network Modeling
by: Zhao, Peng, et al.
Published: (2025)

A Multilayer Probit Network Model for Community Detection with Dependent Edges and Layers
by: Shi, Dapeng, et al.
Published: (2026)

Improve Power of Knockoffs with Annotation Information of Covariates
by: Zhang, Xiangyu, et al.
Published: (2026)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
by: Li, Xiudi, et al.
Published: (2025)

Covariate adjustment in randomized experiments with missing outcomes and covariates
by: Zhao, Anqi, et al.
Published: (2023)

Testing Conditional Independence via the Spectral Generalized Covariance Measure: Beyond Euclidean Data
by: Miyazaki, Ryunosuke, et al.
Published: (2025)

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
by: Zhao, Christina, et al.
Published: (2024)

Cluster Quilting: Spectral Clustering for Patchwork Learning
by: Zheng, Lili, et al.
Published: (2024)

A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
by: Wang, Zhuoqun, et al.
Published: (2021)

Temporal label recovery from noisy dynamical data
by: Khoo, Yuehaw, et al.
Published: (2024)

MixMashNet: An R Package for Single and Multilayer Networks
by: De Martino, Maria, et al.
Published: (2026)

Multiscale Cochran-Mantel-Haenszel Scanning for Conditional Dependency
by: Kang, Gyeonghun, et al.
Published: (2026)

Inferring High-Dimensional Dynamic Networks Changing with Multiple Covariates
by: Dijkstra, Louis, et al.
Published: (2024)

A Doubled Adjacency Spectral Embedding Approach to Graph Clustering
by: Park, Sinyoung, et al.
Published: (2025)

Multilevel Regression Modeling of Covariance Matrix Outcomes
by: Green, Michelle Murphy, et al.
Published: (2026)

Multilayer random dot product graphs: Estimation and online change point detection
by: Wang, Fan, et al.
Published: (2023)

Balanced Subsampling for Big Data with Categorical Covariates
by: Wang, Lin
Published: (2022)

Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
by: Geng, Jialiang, et al.
Published: (2025)

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
by: Ying, Chao, et al.
Published: (2025)

Scalable Dirichlet Process Mixture Models with Unknown Concentration and Adaptive Covariance for High-Dimensional Clustering Applied to Leukemia Transcriptomics
by: Pal, Annesh, et al.
Published: (2026)

Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
by: Shan, Jiawei, et al.
Published: (2024)

Robust Distance Covariance
by: Leyder, Sarah, et al.
Published: (2024)

A Transfer Learning Framework for Multilayer Networks via Model Averaging
by: Qiu, Yongqin, et al.
Published: (2025)

A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
by: Metodiev, Martin, et al.
Published: (2024)

High-Dimensional Covariate-Dependent Gaussian Graphical Models
by: Wang, Jiacheng, et al.
Published: (2025)