19 citations · 74 across the 8 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021★ 19 cited
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
This article unveils a new relation between the Nishimori temperature parametrizing a distribution P and the Bethe free energy on random Erdos-Renyi graphs with edge weights distri…
stat.ML2020★ 10 cited
A unified framework for spectral clustering in sparse graphs
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
This article considers spectral community detection in the regime of sparse networks with heterogeneous degree distributions, for which we devise an algorithm to efficiently retrie…