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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

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* 24 pages, 10 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

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* 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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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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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

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* 32 pages, 8 figures 

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On the Incommensurability Phenomenon


Feb 06, 2015
Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe

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A consistent adjacency spectral embedding for stochastic blockmodel graphs


Apr 27, 2012
Daniel L. Sussman, Minh Tang, Donniell E. Fishkind, Carey E. Priebe

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* 21 pages 

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