Fake news detection on social media using geometric deep learning F Monti, F Frasca, D Eynard, D Mannion, MM Bronstein arXiv preprint arXiv:1902.06673, 2019 | 618 | 2019 |
Temporal graph networks for deep learning on dynamic graphs E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein arXiv preprint arXiv:2006.10637, 2020 | 546 | 2020 |
Sign: Scalable inception graph neural networks E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti arXiv preprint arXiv:2004.11198, 2020 | 362 | 2020 |
Improving graph neural network expressivity via subgraph isomorphism counting G Bouritsas, F Frasca, S Zafeiriou, MM Bronstein IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 657-668, 2022 | 358 | 2022 |
Weisfeiler and lehman go cellular: Cw networks C Bodnar, F Frasca, N Otter, Y Wang, P Lio, GF Montufar, M Bronstein Advances in neural information processing systems 34, 2625-2640, 2021 | 228 | 2021 |
Weisfeiler and lehman go topological: Message passing simplicial networks C Bodnar, F Frasca, Y Wang, N Otter, GF Montufar, P Lio, M Bronstein International Conference on Machine Learning, 1026-1037, 2021 | 226 | 2021 |
Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... arXiv preprint arXiv:2110.02910, 2021 | 156 | 2021 |
Understanding and extending subgraph gnns by rethinking their symmetries F Frasca, B Bevilacqua, M Bronstein, H Maron Advances in Neural Information Processing Systems 35, 31376-31390, 2022 | 96 | 2022 |
Graph neural networks for link prediction with subgraph sketching BP Chamberlain, S Shirobokov, E Rossi, F Frasca, T Markovich, ... The eleventh international conference on learning representations, 2022 | 60 | 2022 |
Edge directionality improves learning on heterophilic graphs E Rossi, B Charpentier, F Di Giovanni, F Frasca, S Günnemann, ... Learning on Graphs Conference, 25: 1-25: 27, 2024 | 13 | 2024 |
Accurate and highly interpretable prediction of gene expression from histone modifications F Frasca, M Matteucci, M Leone, MJ Morelli, M Masseroli BMC bioinformatics 23 (1), 151, 2022 | 5 | 2022 |
Learning interpretable disease self-representations for drug repositioning F Frasca, D Galeano, G Gonzalez, I Laponogov, K Veselkov, A Paccanaro, ... arXiv preprint arXiv:1909.06609, 2019 | 3 | 2019 |
Modeling gene transcriptional regulation by means of hyperplanes genetic clustering F Frasca, M Matteucci, M Masseroli, M Morelli 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 3 | 2018 |
Graph positional encoding via random feature propagation M Eliasof, F Frasca, B Bevilacqua, E Treister, G Chechik, H Maron International Conference on Machine Learning, 9202-9223, 2023 | 2 | 2023 |
Exposing and characterizing subpopulations of distinctly regulated genes by k-plane regression F Frasca, M Matteucci, MJ Morelli, M Masseroli International Meeting on Computational Intelligence Methods for …, 2018 | 1 | 2018 |
Future Directions in Foundations of Graph Machine Learning C Morris, N Dym, H Maron, İİ Ceylan, F Frasca, R Levie, D Lim, ... arXiv preprint arXiv:2402.02287, 2024 | | 2024 |
Data-driven modeling of epigenetic transcriptional regulation F FRASCA Italy, 2018 | | 2018 |
Unveiling gene expression histonic regulative patterns by hyperplanes clustering F Frasca, M Matteucci, M Morelli, M Masseroli Proceedings of the 15th International Meeting on Computational Intelligence …, 2018 | | 2018 |
Supplementary materials for “Accurate and highly interpretable prediction of gene expression from histone modifications” F Frasca, M Matteucci, M Leone, MJ Morelli, M Masseroli | | |