Covariate Regularized Community Detection in Sparse Graphs
From MaRDI portal
Publication:4999151
DOI10.1080/01621459.2019.1706541zbMath1464.62333arXiv1607.02675OpenAlexW2998266148WikidataQ126395615 ScholiaQ126395615MaRDI QIDQ4999151
Publication date: 6 July 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1607.02675
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (6)
Community informed experimental design ⋮ Covariate-Assisted Community Detection in Multi-Layer Networks ⋮ Unnamed Item ⋮ Joint Latent Space Model for Social Networks with Multivariate Attributes ⋮ An \({\ell_p}\) theory of PCA and spectral clustering ⋮ Unnamed Item
Uses Software
Cites Work
- Unnamed Item
- Pseudo-likelihood methods for community detection in large sparse networks
- SDPNAL+: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints
- Community detection in networks with node features
- Statistical guarantees for the EM algorithm: from population to sample-based analysis
- A spectral algorithm for learning mixture models
- On information plus noise kernel random matrices
- Alternating direction augmented Lagrangian methods for semidefinite programming
- Spectral clustering and the high-dimensional stochastic blockmodel
- Community detection in sparse networks via Grothendieck's inequality
- A tail inequality for quadratic forms of subgaussian random vectors
- A first-order block-decomposition method for solving two-easy-block structured semidefinite programs
- Data spectroscopy: eigenspaces of convolution operators and clustering
- A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
- Detection and feature selection in sparse mixture models
- Phase transitions for high dimensional clustering and related problems
- On semidefinite relaxations for the block model
- Monogamy inequality in terms of entanglement measures based on distance for pure multiqubit states
- Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
- Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
- The Z -eigenvalues of a symmetric tensor and its application to spectral hypergraph theory
- Achieving Exact Cluster Recovery Threshold via Semidefinite Programming
- Mixed membership stochastic blockmodels
- Tensor Completion in Hierarchical Tensor Representations
- Implementation of primal-dual methods for semidefinite programming based on Monteiro and Tsuchiya Newton directions and their variants
- Robust Control via Sequential Semidefinite Programming
- Clustering subgaussian mixtures by semidefinite programming
- Semidefinite Programming
- Semidefinite programs on sparse random graphs and their application to community detection
- Covariate-assisted spectral clustering
- THE GROTHENDIECK CONSTANT IS STRICTLY SMALLER THAN KRIVINE’S BOUND
- Approximating K‐means‐type Clustering via Semidefinite Programming
- The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
This page was built for publication: Covariate Regularized Community Detection in Sparse Graphs