Fast rates for noisy interpolation require rethinking the effect of inductive bias K Donhauser, N Ruggeri, S Stojanovic, F Yang International Conference on Machine Learning, 5397-5428, 2022 | 22 | 2022 |
Hypergraphx: a library for higher-order network analysis QF Lotito, M Contisciani, C De Bacco, L Di Gaetano, L Gallo, A Montresor, ... Journal of Complex Networks 11 (3), cnad019, 2023 | 21 | 2023 |
Community detection in large hypergraphs N Ruggeri, M Contisciani, F Battiston, C De Bacco Science Advances 9 (28), eadg9159, 2023 | 20* | 2023 |
Framework to generate hypergraphs with community structure N Ruggeri, F Battiston, C De Bacco Physical Review E 109 (3), 034309, 2024 | 12* | 2024 |
Provable concept learning for interpretable predictions using variational inference A Taeb, N Ruggeri, C Schnuck, F Yang arXiv preprint arXiv:2204.00492, 2022 | 7* | 2022 |
Sampling on networks: estimating eigenvector centrality on incomplete networks N Ruggeri, CD Bacco International Conference on Complex Networks and Their Applications, 90-101, 2019 | 7 | 2019 |
Hypergraphs with node attributes: structure and inference A Badalyan, N Ruggeri, C De Bacco arXiv preprint arXiv:2311.03857, 2023 | 5 | 2023 |
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures N Ruggeri, C De Bacco Applied Network Science 5, 1-29, 2020 | 3 | 2020 |
Message-passing on hypergraphs: detectability, phase transitions and higher-order information N Ruggeri, A Lonardi, C De Bacco Journal of Statistical Mechanics: Theory and Experiment 2024 (4), 043403, 2024 | 1 | 2024 |