arXiv stat.ML
· Papers
Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
arXiv:2607.14304v1 Announce Type: new Abstract: We study sparse random geometric graphs generated by connecting pairs of high-dimensional vectors whose inner product exceeds a threshold. The latent vectors are sampled either uniformly from the sphere or from a standard Gaussian distribution. Although every edge appears