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Fabrizio Frasca
Fabrizio Frasca
Posdoctoral Fellow, Technion – Israel Institute of Technology
Verified email at ic.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
6052019
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
5322020
Sign: Scalable inception graph neural networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
3562020
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
3492022
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
2242021
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
2182021
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
arXiv preprint arXiv:2110.02910, 2021
1522021
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
932022
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
542022
Edge directionality improves learning on heterophilic graphs
E Rossi, B Charpentier, F Di Giovanni, F Frasca, S GŁnnemann, ...
arXiv preprint arXiv:2305.10498, 2023
122023
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
52022
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
32019
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
32018
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
12023
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
12018
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
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Articles 1–19