SIMoNe: Statistical Inference for MOdular NEtworks. - Julien Chiquet; Alexander Smith 003; Gilles Grasseau; Catherine Matias; Christophe Ambroise (Bioinform., 2009)

Robustness of the Parsimonious Reconciliation Method in Cophylogeny. - Laura Urbini; Blerina Sinaimeri; Catherine Matias; Marie-France Sagot (AlCoB, 2016)

Nine quick tips for analyzing network data. - Vincent Miele; Catherine Matias; Stéphane Robin; Stéphane Dray (PLoS Comput. Biol., 2019)

Exploring the Robustness of the Parsimonious Reconciliation Method in Host-Symbiont Cophylogeny. - Laura Urbini; Blerina Sinaimeri; Catherine Matias; Marie-France Sagot (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. - Guillaume Gautreau; Adelme Bazin; Mathieu Gachet; Rémi Planel; Laura Burlot; Mathieu Dubois; Amandine Perrin; Claudine Médigue; Alexandra Calteau; Stéphane Cruveiller; Catherine Matias; Christophe Ambroise; et al. (PLoS Comput. Biol., 2020)

Properties of the stochastic approximation EM algorithm with mini-batch sampling. - Estelle Kuhn; Catherine Matias; Tabea Rebafka (Stat. Comput., 2020)

Spectral density of random graphs: convergence properties and application in model fitting. - Suzana de Siqueira Santos; André Fujita; Catherine Matias (J. Complex Networks, 2021)

Correction: PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. - Guillaume Gautreau; Adelme Bazin; Mathieu Gachet; Rémi Planel; Laura Burlot; Mathieu Dubois; Amandine Perrin; Claudine Médigue; Alexandra Calteau; Stéphane Cruveiller; Catherine Matias; Christophe Ambroise; et al. (PLoS Comput. Biol., 2021)

Comparison of modularity-based approaches for nodes clustering in binary hypergraphs. - Veronica Poda; Catherine Matias (CoRR, 2024)