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Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels


Aug 22, 2022
Ayushi Saxena, Vince Lyzinski


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


Aug 20, 2022
Sheyda Peyman, Minh Tang, Vince Lyzinski


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Clustered Graph Matching for Label Recovery and Graph Classification


May 06, 2022
Zhirui Li, Jesus Arroyo, Konstantinos Pantazis, Vince Lyzinski

* 22 pages, 7 figures, 4 tables 

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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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