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Vince Lyzinski
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Statistical inference on random dot product graphs: a survey
A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ...
The Journal of Machine Learning Research 18 (1), 8393-8484, 2017
1782017
Fast approximate quadratic programming for graph matching
JT Vogelstein, JM Conroy, V Lyzinski, LJ Podrazik, SG Kratzer, ET Harley, ...
PLOS one 10 (4), e0121002, 2015
152*2015
Graph matching: Relax at your own risk
V Lyzinski, DE Fishkind, M Fiori, JT Vogelstein, CE Priebe, G Sapiro
IEEE transactions on pattern analysis and machine intelligence 38 (1), 60-73, 2015
1402015
Community detection and classification in hierarchical stochastic blockmodels
V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe
IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016
1322016
A limit theorem for scaled eigenvectors of random dot product graphs
A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman
Sankhya A 78 (1), 1-18, 2016
119*2016
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe
Electronic journal of statistics 8 (2), 2905-2922, 2014
1102014
A semiparametric two-sample hypothesis testing problem for random graphs
M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe
Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017
1052017
A nonparametric two-sample hypothesis testing problem for random graphs
M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe
Bernoulli 23 (3), 1599-1630, 2017
86*2017
Seeded graph matching for correlated Erdös-Rényi graphs.
V Lyzinski, DE Fishkind, CE Priebe
J. Mach. Learn. Res. 15 (1), 3513-3540, 2014
822014
Seeded graph matching
DE Fishkind, S Adali, HG Patsolic, L Meng, D Singh, V Lyzinski, ...
Pattern recognition 87, 203-215, 2019
79*2019
Spectral clustering for divide-and-conquer graph matching
V Lyzinski, DL Sussman, DE Fishkind, H Pao, L Chen, JT Vogelstein, ...
Parallel Computing 47, 70-87, 2015
572015
On a two-truths phenomenon in spectral graph clustering
CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ...
Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019
552019
A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference
K Levin, A Athreya, M Tang, V Lyzinski, Y Park, CE Priebe
arXiv preprint arXiv:1705.09355, 2017
47*2017
Vertex nomination schemes for membership prediction
DE Fishkind, V Lyzinski, H Pao, L Chen, CE Priebe
The Annals of Applied Statistics 9 (3), 1510-1532, 2015
392015
A joint graph inference case study: the C. elegans chemical and electrical connectomes
L Chen, JT Vogelstein, V Lyzinski, CE Priebe
Worm 5 (2), e1142041, 2016
332016
Information recovery in shuffled graphs via graph matching
V Lyzinski
IEEE Transactions on Information Theory 64 (5), 3254-3273, 2018
312018
Semi-external memory sparse matrix multiplication for billion-node graphs
D Zheng, D Mhembere, V Lyzinski, JT Vogelstein, CE Priebe, R Burns
IEEE Transactions on Parallel and Distributed Systems 28 (5), 1470-1483, 2016
29*2016
An evaluation of graph clustering methods for unsupervised term discovery
V Lyzinski, G Sell, A Jansen
Sixteenth Annual Conference of the International Speech Communication …, 2015
272015
A central limit theorem for an omnibus embedding of multiple random dot product graphs
K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 964-967, 2017
252017
Seeded graph matching via joint optimization of fidelity and commensurability
H Patsolic, S Adali, JT Vogelstein, Y Park, CE Friebe, G Li, V Lyzinski
arXiv preprint arXiv:1401.3813, 2014
25*2014
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Articles 1–20