Rooted motif signatures determine latent position connectivity profiles for generic finite-rank graphons and yield empirical estimators with concentration bounds from a single observed graph.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Covariate-augmented spectral clustering for heterogeneous networks with misclustering bounds under a contextualized stochastic blockmodel, applied to UNGA voting data.
citing papers explorer
-
Understanding Geopolitical Alignments Through Covariate Augmented Spectral Clustering of Heterogeneous UNGA Voting Data
Covariate-augmented spectral clustering for heterogeneous networks with misclustering bounds under a contextualized stochastic blockmodel, applied to UNGA voting data.