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Fabrizio Frasca
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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
4342019
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
2892020
Sign: Scalable inception graph neural networks
E Rossi, F Frasca, B Chamberlain, D Eynard, M Bronstein, F Monti
arXiv preprint arXiv:2004.11198, 2020
2412020
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
1882022
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
1272021
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
1162021
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
arXiv preprint arXiv:2110.02910, 2021
682021
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
242022
Fake news detection on social media using geometric deep learning. 2019
F Monti, F Frasca, D Eynard, D Mannion, MM Bronstein
arXiv preprint arXiv:1902.06673, 1902
111902
Temporal graph networks for deep learning on dynamic graphs 2020
E Rossi, B Chamberlain, F Frasca, D Eynard, F Monti, M Bronstein
URL https://arxiv. org/abs, 2006
82006
Graph Neural Networks for Link Prediction with Subgraph Sketching
BP Chamberlain, S Shirobokov, E Rossi, F Frasca, T Markovich, ...
arXiv preprint arXiv:2209.15486, 2022
62022
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), 1-17, 2022
22022
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
22019
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
22018
Exposing and characterizing subpopulations of distinctly regulated genes by k-plane regression
F Frasca, M Matteucci, MJ Morelli, M Masseroli
Computational Intelligence Methods for Bioinformatics and Biostatistics†…, 2020
12020
Edge Directionality Improves Learning on Heterophilic Graphs
E Rossi, B Charpentier, F Di Giovanni, F Frasca, S GŁnnemann, ...
arXiv preprint arXiv:2305.10498, 2023
2023
Graph Positional Encoding via Random Feature Propagation
M Eliasof, F Frasca, B Bevilacqua, E Treister, G Chechik, H Maron
arXiv preprint arXiv:2303.02918, 2023
2023
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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Artikelen 1–20