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Minh Tang — most-cited papers & profile · Graph Learning
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·
overview
Minh Tang
12
papers ·
0
citations
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Most-cited papers
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
2016
Semiparametric spectral modeling of the Drosophila connectome
2017
Statistical inference on random dot product graphs: a survey
2017
The eigenvalues of stochastic blockmodel graphs
2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
2018
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
2019
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
2020
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
2020
Exact Recovery of Community Structures Using DeepWalk and Node2vec
2021
Hypothesis Testing for Equality of Latent Positions in Random Graphs
2021
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
2021
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method
2022
Top co-authors
Carey E. Priebe
· 6
Vince Lyzinski
· 4
Avanti Athreya
· 3
Joshua T. Vogelstein
· 3
Youngser Park
· 3
Keith Levin
· 2
Michael W. Trosset
· 2
Yichen Qin
· 2
Albert Cardona
· 1
and Carey E. Priebe
· 1
Ben Cocanougher
· 1
Daniel L. Sussman
· 1
Topics
Uncategorized
stat.ML
cs.LG
Knowledge Graphs
cs.SI
stat.ME
cs.IR