Minh Tang

Works (11)

Updated: March 2nd, 2024 20:23

2024 journal article

A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 46(2), 1065–1078.

By: Y. Zhang n & M. Tang n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Stochastic blockmodel; network embedding; perfect community recovery; node2vec; DeepWalk; matrix factorization
Source: Web Of Science
Added: February 12, 2024

2022 article

A statistical interpretation of spectral embedding: The generalised random dot product graph

Rubin-Delanchy, P., Cape, J., Tang, M., & Priebe, C. E. (2022, June 3). JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY.

co-author countries: United Kingdom of Great Britain and Northern Ireland πŸ‡¬πŸ‡§ United States of America πŸ‡ΊπŸ‡Έ
author keywords: graph embedding; networks; spectral clustering; stochastic block model
Source: Web Of Science
Added: June 13, 2022

2022 journal article

Asymptotically efficient estimators for stochastic blockmodels: The naive MLE, the rank-constrained MLE, and the spectral estimator

BERNOULLI, 28(2), 1049–1073.

By: M. Tang n, J. Cape * & C. Priebe *

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Asymptotic efficiency; random dot product graph; stochastic blockmodels; asymptotic normality; spectral embedding
Source: Web Of Science
Added: March 28, 2022

2022 article

Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference

Athreya, A., Lubberts, Z., Priebe, C. E., Park, Y., Tang, M., Lyzinski, V., … Lewis, B. W. (2022, July 18). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

By: A. Athreya*, Z. Lubberts*, C. Priebe *, Y. Park *, M. Tang n, V. Lyzinski *, M. Kane*, B. Lewis

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Optimal termination; Spectral decomposition; Statistical error
Source: Web Of Science
Added: July 26, 2022

2022 article

Popularity Adjusted Block Models are Generalized Random Dot Product Graphs

Koo, J., Tang, M., & Trosset, M. W. (2022, June 25). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

By: J. Koo*, M. Tang n & M. Trosset*

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Block models; Community detection; Generalized random dot product graphs; Network analysis; Sparse subspace clustering
Source: Web Of Science
Added: July 11, 2022

2022 journal article

Valid two-sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics

STAT, 11(1).

By: J. Chung *, B. Varjavand*, J. Arroyo-Relion, A. Alyakin*, J. Agterberg*, M. Tang n, C. Priebe *, J. Vogelstein*

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: brain networks; distance correlation; Drosophila mushroom body; random dot product graph
Source: Web Of Science
Added: February 14, 2022

2022 article

Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming

Zheng, R., Lyzinski, V., Priebe, C. E., & Tang, M. (2022, May 13). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Correlated graphs; Generalized random dot product graphs; Point set registration; Vertex nomination
Source: Web Of Science
Added: May 23, 2022

2021 article

Eigenvalues of Stochastic Blockmodel Graphs and Random Graphs with Low-Rank Edge Probability Matrices

Athreya, A., Cape, J., & Tang, M. (2021, November 3). SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY.

By: A. Athreya*, J. Cape * & M. Tang n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Random graphs; Stochastic blockmodels; Asymptotic normality; Eigenvalues distribution
Source: Web Of Science
Added: November 15, 2021

2021 journal article

On Estimation and Inference in Latent Structure Random Graphs

STATISTICAL SCIENCE, 36(1), 68–88.

By: A. Athreya, M. Tang*, Y. Park & C. Priebe

author keywords: Latent structure random graphs; manifold learning; spectral graph inference; efficiency
Source: Web Of Science
Added: February 8, 2021

2020 journal article

Central limit theorems for classical multidimensional scaling

ELECTRONIC JOURNAL OF STATISTICS, 14(1), 2362–2394.

By: G. Li, M. Tang*, N. Charon & C. Priebe

author keywords: Classical multidimensional scaling; dissimilarity matrix; perturbation analysis; central limit theorem
Source: Web Of Science
Added: August 3, 2020

2019 journal article

On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs

NETWORK SCIENCE, 7(3), 269–291.

By: J. Cape *, M. Tang n & C. Priebe

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: stochastic blockmodel; Laplacian matrix; adjacency matrix; spectral embedding; network structure; core-periphery; Chernoff information
Source: Web Of Science
Added: November 4, 2019

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