Community Detection in Sparse Realistic Graphs: Improving the Bethe Hessian. - Lorenzo Dall'Amico; Romain Couillet (ICASSP, 2019)

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2019)

Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2019)

Optimal Laplacian Regularization for Sparse Spectral Community Detection. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (ICASSP, 2020)

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2020)

Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2021)

A Unified Framework for Spectral Clustering in Sparse Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (J. Mach. Learn. Res., 2021)

Efficient distributed representations beyond negative sampling. - Lorenzo Dall'Amico; Enrico Maria Belliardo (CoRR, 2023)

Political Issue or Public Health: the Vaccination Debate on Twitter in Europe. - Giordano Paoletti; Lorenzo Dall'Amico; Kyriaki Kalimeri; Jacopo Lenti; Yelena Mejova; Daniela Paolotti; Michele Starnini; Michele Tizzani (CoRR, 2023)

An embedding-based distance for temporal graphs. - Lorenzo Dall'Amico; Alain Barrat; Ciro Cattuto (CoRR, 2024)

Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile. - Pasquale Casaburi; Lorenzo Dall'Amico; Nicolò Gozzi; Kyriaki Kalimeri; Anna Sapienza; Rossano Schifanella; T. Di Matteo; Leo Ferres; Mattia Mazzoli (PLoS Comput. Biol., 2025)

Learning distributed representations with efficient SoftMax normalization. - Lorenzo Dall'Amico; Enrico Maria Belliardo (Trans. Mach. Learn. Res., 2025)