Co-occurring keywords · papers mentioning both
Papers
Information-Theoretic Thresholds for Bipartite Latent-Space Graphs Under Noisy Observations
COLT 2026
Reconstructing Riemannian Metrics From Random Geometric Graphs
COLT 2026
Testing for a Hidden Geometry in Random Graphs
COLT 2026
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
AISTATS 2025
Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion
COLT 2024
Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract)
COLT 2024
Community Recovery in the Geometric Block Model
JMLR 2023
Large data limit of the MBO scheme for data clustering: convergence of the dynamics
JMLR 2023
Robustness of Community Detection to Random Geometric Perturbations
NeurIPS 2020
Latent distance estimation for random geometric graphs
NeurIPS 2019
New perspective on sampling-based motion planning via random geometric graphs
RSS 2016
Hitting and Commute Times in Large Random Neighborhood Graphs
JMLR 2014
Phase transition in the family of p-resistances
NeurIPS 2011