165 citations · 348 across the 18 of their papers we have counts for
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stat.ML2021★ 2 cited
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino, Nicholas A. Heard
Spectral embedding of network adjacency matrices often produces node representations living approximately around low-dimensional submanifold structures. In particular, hidden subst…
stat.ML2020★ 8 cited
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy
Spectral clustering is a popular method for community detection in network graphs: starting from a matrix representation of the graph, the nodes are clustered on a low dimensional…