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Leveraging semantically similar queries for ranking via combining representations


Jun 23, 2021
Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali~Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe


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Subgraph nomination: Query by Example Subgraph Retrieval in Networks


Jan 29, 2021
Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski

* 31 pages, 11 figures 

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The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks


Aug 01, 2020
Konstantinos Pantazis, Avanti Athreya, William N. Frost, Evan S. Hill, Vince Lyzinski


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On the role of features in vertex nomination: Content and context together are better (sometimes)


May 06, 2020
Keith Levin, Carey E. Priebe, Vince Lyzinski


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Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question


Feb 05, 2020
Jesús Arroyo, Carey E. Priebe, Vince Lyzinski


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Vertex Nomination, Consistent Estimation, and Adversarial Modification


May 15, 2019
Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher White, Carey E. Priebe, Vince Lyzinski

* 37 pages, 8 figures 

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Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks


Dec 26, 2018
Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski


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On a 'Two Truths' Phenomenon in Spectral Graph Clustering


Sep 07, 2018
Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford


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On consistent vertex nomination schemes


May 29, 2018
Vince Lyzinski, Keith Levin, Carey E. Priebe

* 29 pages, 4 figures 

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Seeded Graph Matching


Apr 10, 2018
Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe

* 24 pages, 10 figures 

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Matched Filters for Noisy Induced Subgraph Detection


Mar 06, 2018
Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe

* 29 pages, 8 figures 

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Vertex nomination: The canonical sampling and the extended spectral nomination schemes


Feb 14, 2018
Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin, Donniell Fishkind, Carey Priebe, Vince Lyzinski


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Information Recovery in Shuffled Graphs via Graph Matching


Sep 27, 2017
Vince Lyzinski

* 55 pages, 6 figures 

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Statistical inference on random dot product graphs: a survey


Sep 16, 2017
Avanti Athreya, Donniell E. Fishkind, Keith Levin, Vince Lyzinski, Youngser Park, Yichen Qin, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe

* Journal of Machine Learning Research, 2018 
* An expository survey paper on a comprehensive paradigm for inference for random dot product graphs, centered on graph adjacency and Laplacian spectral embeddings. Paper outlines requisite background; summarizes theory, methodology, and applications from previous and ongoing work; and closes with a discussion of several open problems 

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Vertex Nomination Via Local Neighborhood Matching


Jul 22, 2017
Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe

* 20 pages, 8 figures, edits: updated abstract, corrected typos, added acknowledgements, updated code for some figures in Sections 2 and 3, results largely unchanged 

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Semiparametric spectral modeling of the Drosophila connectome


May 09, 2017
Carey E. Priebe, Youngser Park, Minh Tang, Avanti Athreya, Vince Lyzinski, Joshua T. Vogelstein, Yichen Qin, Ben Cocanougher, Katharina Eichler, Marta Zlatic, Albert Cardona


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Fast Embedding for JOFC Using the Raw Stress Criterion


Oct 31, 2016
Vince Lyzinski, Youngser Park, Carey E. Priebe, Michael W. Trosset

* 43 pages, 10 figures, 3 tables 

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On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching


Aug 27, 2016
Vince Lyzinski, Keith Levin, Donniell E. Fishkind, Carey E. Priebe


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Community Detection and Classification in Hierarchical Stochastic Blockmodels


Aug 26, 2016
Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe

* 17 pages, 7 figures 

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Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements


Aug 16, 2016
Keith Levin, Vince Lyzinski


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Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks


Jun 14, 2016
Aren Jansen, Gregory Sell, Vince Lyzinski

* 10 pages, 2 figures, 1 table, this paper is under consideration for publication in Pattern Recognition Letters 

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Spectral Clustering for Divide-and-Conquer Graph Matching


Mar 12, 2015
Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe

* 32 pages, 8 figures 

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Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding


Jan 15, 2015
Vince Lyzinski, Daniel Sussman, Minh Tang, Avanti Athreya, Carey Priebe

* Electronic Journal of Statistics, 8 (2014) 2905--2922 
* 22 pages, including references; 2 figures 

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Graph Matching: Relax at Your Own Risk


Jan 10, 2015
Vince Lyzinski, Donniell Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, Guillermo Sapiro

* 14 pages, 11 figures, 3 tables 

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Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability


Jan 16, 2014
Vince Lyzinski, Sancar Adali, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe

* 18 pages, 5 figures 

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A central limit theorem for scaled eigenvectors of random dot product graphs


Dec 23, 2013
Avanti Athreya, Vince Lyzinski, David J. Marchette, Carey E. Priebe, Daniel L. Sussman, Minh Tang

* 24 pages, 2 figures 

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