Vince Lyzinski

60 papers A 1Journal 56Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACRONYM: Augmented Degree Corrected, Community Reticulated Organized Network Yielding Model. J. Comput. Graph. Stat. Benjamin Leinwand, Vince Lyzinski
2026	J	`jnl`	Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models. CoRR Michael Browder, Kevin Duh, J. David Harris, Vince Lyzinski, Paul McNamee, Youngser Park, Carey E. Priebe, Peter Viechnicki
2026	J	`jnl`	Detection of Model-Based Planted Pseudo-Cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Tong Qi, Vince Lyzinski
2026	J	`jnl`	On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory. J. Comput. Graph. Stat. Lingyao Meng, Mengqi Lou, Jianyu Lin, Vince Lyzinski, Donniell E. Fishkind
2025	J	`jnl`	Asymptotically perfect seeded graph matching without edge correlation (and applications to inference). CoRR Tong Qi, Vera Andersson, Peter Viechnicki, Vince Lyzinski
2025	J	`jnl`	Gaussian mixture models as a proxy for interacting language models. CoRR Edward L. Wang, Tianyu Wang, Avanti Athreya, Vince Lyzinski, Carey E. Priebe
2025	J	`jnl`	Lost in the shuffle: Testing power in the presence of errorful network vertex labels. Comput. Stat. Data Anal. Ayushi Saxena, Vince Lyzinski
2024	J	`jnl`	Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters. IEEE Trans. Signal Inf. Process. over Networks Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2024	J	`jnl`	Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. CoRR Konstantinos Pantazis, Michael W. Trosset, William N. Frost, Carey E. Priebe, Vince Lyzinski
2023	J	`jnl`	Clustered Graph Matching for Label Recovery and Graph Classification. IEEE Trans. Netw. Sci. Eng. Zhirui Li, Jesús Arroyo, Konstantinos Pantazis, Vince Lyzinski
2023	J	`jnl`	Gotta match 'em all: Solution diversification in graph matching matched filters. CoRR Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2023	J	`jnl`	Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference. J. Comput. Graph. Stat. Avanti Athreya, Zachary Lubberts, Carey E. Priebe, Youngser Park, Minh Tang, Vince Lyzinski, Michael J. Kane, Bryan W. Lewis
2023	J	`jnl`	Subgraph nomination: query by example subgraph retrieval in networks. Stat. Comput. Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
2022	J	`jnl`	Adversarial contamination of networks in the setting of vertex nomination: a new trimming method. CoRR Sheyda Peyman, Minh Tang, Vince Lyzinski
2022	J	`jnl`	Clustered Graph Matching for Label Recovery and Graph Classification. CoRR Zhirui Li, Jesús Arroyo, Konstantinos Pantazis, Vince Lyzinski
2022	J	`jnl`	Multiplex graph matching matched filters. Appl. Netw. Sci. Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski
2022	J	`jnl`	Signed and unsigned partial information decompositions of continuous network interactions. J. Complex Networks Jesse Milzman, Vince Lyzinski
2022	J	`jnl`	The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks. J. Mach. Learn. Res. Konstantinos Pantazis, Avanti Athreya, Jesús Arroyo, William N. Frost, Evan S. Hill, Vince Lyzinski
2022	J	`jnl`	Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. J. Comput. Graph. Stat. Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
2021	J	`jnl`	Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. IEEE Trans. Netw. Sci. Eng. Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
2021	J	`jnl`	Leveraging semantically similar queries for ranking via combining representations. CoRR 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
2021	J	`jnl`	Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2021	J	`jnl`	Signed and Unsigned Partial Information Decompositions of Continuous Network Interactions. CoRR Jesse Milzman, Vince Lyzinski
2021	J	`jnl`	Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
2021	J	`jnl`	The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match. Appl. Netw. Sci. Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question. CoRR Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	Matched Filters for Noisy Induced Subgraph Detection. IEEE Trans. Pattern Anal. Mach. Intell. Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	On the role of features in vertex nomination: Content and context together are better (sometimes). CoRR Keith D. Levin, Carey E. Priebe, Vince Lyzinski
2020	J	`jnl`	Vertex nomination between graphs via spectral embedding and quadratic programming. CoRR Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
2020	J	`jnl`	Vertex nomination via seeded graph matching. Stat. Anal. Data Min. Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe
2020	J	`jnl`	Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Comput. Stat. Data Anal. Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Alignment strength and correlation for graphs. Pattern Recognit. Lett. Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski
2019	—	`conf`	Multiplex graph matching matched filters. IEEE BigData Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Multiplex graph matching matched filters. CoRR Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
2019	J	`jnl`	Neural variational entity set expansion for automatically populated knowledge graphs. Inf. Retr. J. Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme
2019	J	`jnl`	On Consistent Vertex Nomination Schemes. J. Mach. Learn. Res. Vince Lyzinski, Keith D. Levin, Carey E. Priebe
2019	J	`jnl`	Seeded graph matching. Pattern Recognit. Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe
2019	J	`jnl`	Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski
2018	J	`jnl`	Information Recovery in Shuffled Graphs via Graph Matching. IEEE Trans. Inf. Theory Vince Lyzinski
2018	J	`jnl`	Matched Filters for Noisy Induced Subgraph Detection. CoRR Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe
2018	J	`jnl`	Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
2018	—	`conf`	Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs. ProfS/KG4IR/Data:Search@SIGIR Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme
2018	J	`jnl`	On a 'Two Truths' Phenomenon in Spectral Graph Clustering. CoRR Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford
2017	—	`conf`	A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs. ICDM Workshops Keith D. Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, Carey E. Priebe
2017	J	`jnl`	Community Detection and Classification in Hierarchical Stochastic Blockmodels. IEEE Trans. Netw. Sci. Eng. Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe
2017	J	`jnl`	Graph matching the matchable nodes when some nodes are unmatchable. CoRR Vince Lyzinski, Daniel L. Sussman
2017	J	`jnl`	Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements. IEEE Trans. Signal Process. Keith D. Levin, Vince Lyzinski
2017	J	`jnl`	Scalable out-of-sample extension of graph embeddings using deep neural networks. Pattern Recognit. Lett. Aren Jansen, Gregory Sell, Vince Lyzinski
2017	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2017	J	`jnl`	Statistical Inference on Random Dot Product Graphs: a Survey. J. Mach. Learn. Res. 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
2016	J	`jnl`	Graph Matching: Relax at Your Own Risk. IEEE Trans. Pattern Anal. Mach. Intell. Vince Lyzinski, Donniell E. Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, Guillermo Sapiro
2016	J	`jnl`	Information Recovery in Shuffled Graphs via Graph Matching. CoRR Vince Lyzinski
2016	J	`jnl`	On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching. J. Mach. Learn. Res. Vince Lyzinski, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe
2016	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2015	A	`conf`	An evaluation of graph clustering methods for unsupervised term discovery. INTERSPEECH Vince Lyzinski, Gregory Sell, Aren Jansen
2015	J	`jnl`	Logarithmic Representability of Integers as k-Sums. Integers Anant P. Godbole, Samuel C. Gutekunst, Vince Lyzinski, Yan Zhuang
2015	J	`jnl`	Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks. CoRR Aren Jansen, Gregory Sell, Vince Lyzinski
2015	J	`jnl`	Spectral clustering for divide-and-conquer graph matching. Parallel Comput. Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe
2014	J	`jnl`	Seeded graph matching for correlated Erdös-Rényi graphs. J. Mach. Learn. Res. Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe
2013	J	`jnl`	Sharp Threshold Asymptotics for the Emergence of Additive Bases. Integers Anant P. Godbole, Chang Mou Lim, Vince Lyzinski, Nicholas George Triantafillou