Runbing Zheng
College of Sciences
Works (1)
Updated: April 11th, 2023 10:13
2022 article
Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming
Zheng, R., Lyzinski, V., Priebe, C. E., & Tang, M. (2022, May 13). JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 5.
author keywords: Correlated graphs; Generalized random dot product graphs; Point set registration; Vertex nomination
TL;DR:
A method that first applies adjacency spectral graph embedding to embed the graphs into a common Euclidean space, and then solves a penalized linear assignment problem to obtain the nomination lists is proposed and shown to lead to accurate nomination under a generative model.
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Added: May 23, 2022