Vince Lyzinski

According to our database, Vince Lyzinski authored at least 40 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Subgraph nomination: query by example subgraph retrieval in networks.

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

Stat. Comput., April, 2023

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

Avanti Athreya, Zachary Lubberts, Carey E. Priebe, Youngser Park, Minh Tang, Vince Lyzinski, Michael J. Kane, Bryan Lewis

J. Comput. Graph. Stat., January, 2023

Clustered Graph Matching for Label Recovery and Graph Classification.

Zhirui Li, Jesús Arroyo, Konstantinos Pantazis, Vince Lyzinski

IEEE Trans. Netw. Sci. Eng., 2023

Gotta match 'em all: Solution diversification in graph matching matched filters.

Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski

CoRR, 2023

2022

Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming.

Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang

J. Comput. Graph. Stat., October, 2022

Signed and unsigned partial information decompositions of continuous network interactions.

Jesse Milzman, Vince Lyzinski

J. Complex Networks, August, 2022

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

Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo, William N. Frost, Evan S. Hill, Vince Lyzinski

J. Mach. Learn. Res., 2022

Adversarial contamination of networks in the setting of vertex nomination: a new trimming method.

Sheyda Peyman, Minh Tang, Vince Lyzinski

CoRR, 2022

Multiplex graph matching matched filters.

Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski

Appl. Netw. Sci., 2022

2021

Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question.

Jesús Arroyo, Carey E. Priebe, Vince Lyzinski

IEEE Trans. Netw. Sci. Eng., 2021

Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks.

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

J. Comput. Graph. Stat., 2021

Leveraging semantically similar queries for ranking via combining representations.

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

CoRR, 2021

The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match.

Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski

Appl. Netw. Sci., 2021

2020

Vertex nomination via seeded graph matching.

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

Stat. Anal. Data Min., 2020

Matched Filters for Noisy Induced Subgraph Detection.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski

Comput. Stat. Data Anal., 2020

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

Keith D. Levin, Carey E. Priebe, Vince Lyzinski

CoRR, 2020

2019

Alignment strength and correlation for graphs.

Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski

Pattern Recognit. Lett., 2019

Seeded graph matching.

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

Pattern Recognit., 2019

On Consistent Vertex Nomination Schemes.

Vince Lyzinski, Keith D. Levin, Carey E. Priebe

J. Mach. Learn. Res., 2019

Neural variational entity set expansion for automatically populated knowledge graphs.

Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme

Inf. Retr. J., 2019

Vertex Nomination, Consistent Estimation, and Adversarial Modification.

Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski

CoRR, 2019

Multiplex graph matching matched filters.

Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Information Recovery in Shuffled Graphs via Graph Matching.

Vince Lyzinski

IEEE Trans. Inf. Theory, 2018

On a 'Two Truths' Phenomenon in Spectral Graph Clustering.

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

CoRR, 2018

2017

Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements.

Keith D. Levin, Vince Lyzinski

IEEE Trans. Signal Process., 2017

Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs.

Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns

IEEE Trans. Parallel Distributed Syst., 2017

Community Detection and Classification in Hierarchical Stochastic Blockmodels.

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

IEEE Trans. Netw. Sci. Eng., 2017

Scalable out-of-sample extension of graph embeddings using deep neural networks.

Aren Jansen, Gregory Sell, Vince Lyzinski

Pattern Recognit. Lett., 2017

Statistical Inference on Random Dot Product Graphs: a Survey.

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

J. Mach. Learn. Res., 2017

Graph matching the matchable nodes when some nodes are unmatchable.

Vince Lyzinski, Daniel L. Sussman

CoRR, 2017

A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs.

Keith D. Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, Carey E. Priebe

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Graph Matching: Relax at Your Own Risk.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Vince Lyzinski, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe

J. Mach. Learn. Res., 2016

Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.

Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns

CoRR, 2016

2015

Spectral clustering for divide-and-conquer graph matching.

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

Parallel Comput., 2015

Logarithmic Representability of Integers as k-Sums.

Anant P. Godbole, Samuel C. Gutekunst, Vince Lyzinski, Yan Zhuang

Integers, 2015

An evaluation of graph clustering methods for unsupervised term discovery.

Vince Lyzinski, Gregory Sell, Aren Jansen

Proceedings of the INTERSPEECH 2015, 2015

2014

Seeded graph matching for correlated Erdös-Rényi graphs.

Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe

J. Mach. Learn. Res., 2014

2013

Sharp Threshold Asymptotics for the Emergence of Additive Bases.

Anant P. Godbole, Chang Mou Lim, Vince Lyzinski, Nicholas George Triantafillou

Integers, 2013