Sharp Threshold Asymptotics for the Emergence of Additive Bases. - Anant P. Godbole; Chang Mou Lim; Vince Lyzinski; Nicholas George Triantafillou (Integers, 2013)

Seeded graph matching for correlated Erdös-Rényi graphs. - Vince Lyzinski; Donniell E. Fishkind; Carey E. Priebe (J. Mach. Learn. Res., 2014)

An evaluation of graph clustering methods for unsupervised term discovery. - Vince Lyzinski; Gregory Sell; Aren Jansen (INTERSPEECH, 2015)

Logarithmic Representability of Integers as k-Sums. - Anant P. Godbole; Samuel C. Gutekunst; Vince Lyzinski; Yan Zhuang (Integers, 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)

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)

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)

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)

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 (ICDM Workshops, 2017)

Graph matching the matchable nodes when some nodes are unmatchable. - Vince Lyzinski; Daniel L. Sussman (CoRR, 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)

Scalable out-of-sample extension of graph embeddings using deep neural networks. - Aren Jansen; Gregory Sell; Vince Lyzinski (Pattern Recognit. Lett., 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)

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)

Laplacian Eigenmaps From Sparse, Noisy Similarity Measurements. - Keith D. Levin; Vince Lyzinski (IEEE Trans. Signal Process., 2017)

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)

Information Recovery in Shuffled Graphs via Graph Matching. - Vince Lyzinski (IEEE Trans. Inf. Theory, 2018)

Multiplex graph matching matched filters. - Konstantinos Pantazis; Daniel L. Sussman; Youngser Park; Carey E. Priebe; Vince Lyzinski (IEEE BigData, 2019)

Vertex Nomination, Consistent Estimation, and Adversarial Modification. - Joshua Agterberg; Youngser Park; Jonathan Larson; Christopher M. White; Carey E. Priebe; Vince Lyzinski (CoRR, 2019)

Neural variational entity set expansion for automatically populated knowledge graphs. - Pushpendre Rastogi; Adam Poliak; Vince Lyzinski; Benjamin Van Durme (Inf. Retr. J., 2019)

On Consistent Vertex Nomination Schemes. - Vince Lyzinski; Keith D. Levin; Carey E. Priebe (J. Mach. Learn. Res., 2019)

Seeded graph matching. - Donniell E. Fishkind; Sancar Adali; Heather G. Patsolic; Lingyao Meng; Digvijay Singh; Vince Lyzinski; Carey E. Priebe (Pattern Recognit., 2019)

Alignment strength and correlation for graphs. - Donniell E. Fishkind; Lingyao Meng; Ao Sun; Carey E. Priebe; Vince Lyzinski (Pattern Recognit. Lett., 2019)

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)

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)

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 via seeded graph matching. - Heather G. Patsolic; Youngser Park; Vince Lyzinski; Carey E. Priebe (Stat. Anal. Data Min., 2020)

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)

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 004; Carey E. Priebe (CoRR, 2021)

Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. - Jesús Arroyo 001; Daniel L. Sussman; Carey E. Priebe; Vince Lyzinski (J. Comput. Graph. Stat., 2021)

Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. - Jesús Arroyo 001; Carey E. Priebe; Vince Lyzinski (IEEE Trans. Netw. Sci. Eng., 2021)

Multiplex graph matching matched filters. - Konstantinos Pantazis; Daniel L. Sussman; Youngser Park; Zhirui Li; Carey E. Priebe; Vince Lyzinski (Appl. Netw. Sci., 2022)

Adversarial contamination of networks in the setting of vertex nomination: a new trimming method. - Sheyda Peyman; Minh Tang; Vince Lyzinski (CoRR, 2022)

The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks. - Konstantinos Pantazis; Avanti Athreya; Jesús Arroyo 001; William N. Frost; Evan S. Hill; Vince Lyzinski (J. Mach. Learn. Res., 2022)

Signed and unsigned partial information decompositions of continuous network interactions. - Jesse Milzman; Vince Lyzinski (J. Complex Networks, 2022)

Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. - Runbing Zheng; Vince Lyzinski; Carey E. Priebe; Minh Tang (J. Comput. Graph. Stat., 2022)

Clustered Graph Matching for Label Recovery and Graph Classification. - Zhirui Li; Jesús Arroyo 001; Konstantinos Pantazis; Vince Lyzinski (IEEE Trans. Netw. Sci. Eng., 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 W. Lewis (J. Comput. Graph. Stat., 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., 2023)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings. - Konstantinos Pantazis; Michael W. Trosset; William N. Frost; Carey E. Priebe; Vince Lyzinski (CoRR, 2024)

Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters. - Zhirui Li; Ben Johnson; Daniel L. Sussman; Carey E. Priebe; Vince Lyzinski (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Lost in the shuffle: Testing power in the presence of errorful network vertex labels. - Ayushi Saxena; Vince Lyzinski (Comput. Stat. Data Anal., 2025)

Gaussian mixture models as a proxy for interacting language models. - Edward L. Wang; Tianyu Wang; Avanti Athreya; Vince Lyzinski; Carey E. Priebe (CoRR, 2025)

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference). - Tong Qi; Vera Andersson; Peter Viechnicki; Vince Lyzinski (CoRR, 2025)