Shortest node-disjoint paths on random graphs. - Caterina De Bacco; Silvio Franz; David Saad; Chi Ho Yeung (CoRR, 2014)

The edge-disjoint path problem on random graphs by message-passing. - Fabrizio Altarelli; Alfredo Braunstein; Luca Dall'Asta; Caterina De Bacco; Silvio Franz (CoRR, 2015)

Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. - Thibault Lesieur; Caterina De Bacco; Jess Banks; Florent Krzakala; Cristopher Moore; Lenka Zdeborová (Allerton, 2016)

Dynamics of beneficial epidemics. - Andrew Berdahl; Christa Brelsford; Caterina De Bacco; Marion Dumas; Vanessa Ferdinand; Joshua A. Grochow; Laurent Hébert-Dufresne; Yoav Kallus; Christopher P. Kempes; Artemy Kolchinsky; Daniel B. Larremore; Eric Libby; et al. (CoRR, 2016)

Community detection, link prediction, and layer interdependence in multilayer networks. - Caterina De Bacco; Eleanor A. Power; Daniel B. Larremore; Cristopher Moore (CoRR, 2017)

A physical model for efficient ranking in networks. - Caterina De Bacco; Daniel B. Larremore; Cristopher Moore (CoRR, 2017)

Sampling on Networks: Estimating Eigenvector Centrality on Incomplete Networks. - Nicolò Ruggeri; Caterina De Bacco (COMPLEX NETWORKS (1), 2019)

Sampling on networks: estimating eigenvector centrality on incomplete graphs. - Nicolò Ruggeri; Caterina De Bacco (CoRR, 2019)

Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures. - Nicolò Ruggeri; Caterina De Bacco (Appl. Netw. Sci., 2020)

Community detection with node attributes in multilayer networks. - Martina Contisciani; Eleanor A. Power; Caterina De Bacco (CoRR, 2020)

Network extraction by routing optimization. - Diego Baptista; Daniela Leite; Enrico Facca; Mario Putti; Caterina De Bacco (CoRR, 2020)

Optimal transport for multi-commodity routing on networks. - Alessandro Lonardi; Enrico Facca; Mario Putti; Caterina De Bacco (CoRR, 2020)

A generative model for reciprocity and community detection in networks. - Hadiseh Safdari; Martina Contisciani; Caterina De Bacco (CoRR, 2020)

Principled network extraction from images. - Diego Baptista; Caterina De Bacco (CoRR, 2020)

Convergence Properties of Optimal Transport-Based Temporal Networks. - Diego Baptista; Caterina De Bacco (COMPLEX NETWORKS, 2021)

Optimal Transport in Multilayer Networks for Traffic Flow Optimization. - Abdullahi Adinoyi Ibrahim; Alessandro Lonardi; Caterina De Bacco (Algorithms, 2021)

Optimal transport in multilayer networks. - Abdullahi Adinoyi Ibrahim; Alessandro Lonardi; Caterina De Bacco (CoRR, 2021)

Reciprocity, community detection, and link prediction in dynamic networks. - Hadiseh Safdari; Martina Contisciani; Caterina De Bacco (CoRR, 2021)

Community detection and reciprocity in networks by jointly modeling pairs of edges. - Martina Contisciani; Hadiseh Safdari; Caterina De Bacco (CoRR, 2021)

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data. - Caterina De Bacco; Martina Contisciani; Jonathan Cardoso-Silva; Hadiseh Safdari; Diego Baptista; Tracy M. Sweet; Jean-Gabriel Young; Jeremy M. Koster; Cody T. Ross; Richard McElreath; Daniel Redhead; Eleanor A. Power (CoRR, 2021)

The interplay between ranking and communities in networks. - Laura Iacovissi; Caterina De Bacco (CoRR, 2021)

Estimating Social Influence from Observational Data. - Dhanya Sridhar; Caterina De Bacco; David M. Blei (CLeaR, 2022)

Modeling Node Exposure for Community Detection in Networks. - Sameh Othman; Johannes Schulz; Marco Baity-Jesi; Caterina De Bacco (COMPLEX NETWORKS (2), 2022)

Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships. - Kyle W. Higham; Martina Contisciani; Caterina De Bacco (CoRR, 2022)

Principled inference of hyperedges and overlapping communities in hypergraphs. - Martina Contisciani; Federico Battiston; Caterina De Bacco (CoRR, 2022)

Immiscible Color Flows in Optimal Transport Networks for Image Classification. - Alessandro Lonardi; Diego Baptista; Caterina De Bacco (CoRR, 2022)

Community Detection in networks by Dynamical Optimal Transport Formulation. - Daniela Leite; Diego Baptista; Abdullahi Adinoyi Ibrahim; Enrico Facca; Caterina De Bacco (CoRR, 2022)

A Principled, Flexible and Efficient Framework for Hypergraph Benchmarking. - Nicolò Ruggeri; Federico Battiston; Caterina De Bacco (CoRR, 2022)

Anomaly detection and community detection in networks. - Hadiseh Safdari; Caterina De Bacco (J. Big Data, 2022)

Community detection and reciprocity in networks by jointly modelling pairs of edges. - Martina Contisciani; Hadiseh Safdari; Caterina De Bacco (J. Complex Networks, 2022)

Convergence properties of optimal transport-based temporal hypergraphs. - Diego Baptista; Caterina De Bacco (Appl. Netw. Sci., 2023)

Convergence properties of optimal transport-based temporal hypernetworks. - Diego Baptista; Caterina De Bacco (CoRR, 2023)

Generalized Inference of Mesoscale Structures in Higher-order Networks. - Nicolò Ruggeri; Martina Contisciani; Federico Battiston; Caterina De Bacco (CoRR, 2023)

Anomaly, reciprocity, and community detection in networks. - Hadiseh Safdari; Martina Contisciani; Caterina De Bacco (CoRR, 2023)

A model for efficient dynamical ranking in networks. - Andrea Della Vecchia; Kibidi Neocosmos; Daniel B. Larremore; Cristopher Moore; Caterina De Bacco (CoRR, 2023)

Hypergraphs with node attributes: structure and inference. - Anna Badalyan; Nicolò Ruggeri; Caterina De Bacco (CoRR, 2023)

Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information. - Nicolò Ruggeri; Alessandro Lonardi; Caterina De Bacco (CoRR, 2023)

Hypergraphx: a library for higher-order network analysis. - Quintino Francesco Lotito; Martina Contisciani; Caterina De Bacco; Leonardo Di Gaetano; Luca Gallo; Alberto Montresor; Federico Musciotto; Nicolò Ruggeri; Federico Battiston (J. Complex Networks, 2023)

A causality-inspired plus-minus model for player evaluation in team sports. - Caterina De Bacco; Yixin Wang 002; David M. Blei (CLeaR, 2024)

Community detection and anomaly prediction in dynamic networks. - Hadiseh Safdari; Caterina De Bacco (CoRR, 2024)

Flexible inference in heterogeneous and attributed multilayer networks. - Martina Contisciani; Marius Hobbhahn; Eleanor A. Power; Philipp Hennig; Caterina De Bacco (CoRR, 2024)

Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks. - John Hood; Caterina De Bacco; Aaron J. Schein (CoRR, 2025)

How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? - Michela Lapenna; Caterina De Bacco (CoRR, 2025)