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Identifying the latent space geometry of network models through analysis of curvature

Social Science Research Network (SSRN), 2020

19 December 2020

Shane Lubold

Arun G. Chandrasekhar

Tyler H. McCormick

ArXiv (abs)PDF HTML

Papers citing "Identifying the latent space geometry of network models through analysis of curvature"

9 / 9 papers shown

Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci CurvatureLOG IN (LOG IN), 2023

Lukas Fesser

Melanie Weber

367

17 Sep 2023

General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays

Arun G. Chandrasekhar

M. Jackson

Tyler H. McCormick

Vydhourie Thiyageswaran

319

24 Aug 2023

Curvature-based Clustering on Graphs

Yupan Tian

Zachary Lubberts

Melanie Weber

258

19 Jul 2023

Bayesian Hyperbolic Multidimensional ScalingJournal of Computational And Graphical Statistics (JCGS), 2022

254

26 Oct 2022

Wrapped Distributions on homogeneous Riemannian manifolds

296

20 Apr 2022

Toward a Taxonomy of Trust for Probabilistic Machine LearningScience Advances (Sci Adv), 2021

256

05 Dec 2021

Spectral goodness-of-fit tests for complete and partial network dataNetwork Science (NS), 2021

Shane Lubold

Bolun Liu

Tyler H. McCormick

184

17 Jun 2021

Continuous Latent Position Models for Instantaneous InteractionsNetwork Science (NS), 2021

Riccardo Rastelli

Marco Corneli

216

31 Mar 2021

Policy design in experiments with unknown interference

Davide Viviano

Jess Rudder

642

16 Nov 2020