| Understanding over-squashing and bottlenecks on graphs via curvature J Topping*, F Di Giovanni*, BP Chamberlain, X Dong, MM Bronstein ICLR 2022, outstanding paper honorable mention, 2021 | 474 | 2021 |
| Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns C Bodnar, F Di Giovanni, BP Chamberlain, P Liò, MM Bronstein NeurIPS 2022, 2022 | 170 | 2022 |
| On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology F Di Giovanni, L Giusti, F Barbero, G Luise, P Lio, M Bronstein ICML23, 2023 | 121 | 2023 |
| Understanding convolution on graphs via energies F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein Transactions on Machine Learning Research, 2022 | 92* | 2022 |
| Beltrami flow and neural diffusion on graphs B Chamberlain, J Rowbottom, D Eynard, F Di Giovanni, X Dong, ... Advances in Neural Information Processing Systems 34, 1594-1609, 2021 | 84 | 2021 |
| Drew: Dynamically rewired message passing with delay B Gutteridge, X Dong, MM Bronstein, F Di Giovanni International Conference on Machine Learning, 12252-12267, 2023 | 61 | 2023 |
| 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 | 50 | 2024 |
| How does over-squashing affect the power of GNNs? F Di Giovanni, TK Rusch, MM Bronstein, A Deac, M Lackenby, S Mishra, ... Transactions on Machine Learning Research, 2024 | 31* | 2024 |
| Heterogeneous manifolds for curvature-aware graph embedding F Di Giovanni*, G Luise*, M Bronstein ICLR 2022 GTRL Workshop, 2022 | 27 | 2022 |
| Locality-Aware Graph-Rewiring in GNNs F Barbero, A Velingker, A Saberi, M Bronstein, F Di Giovanni ICLR 2024, 2024 | 19 | 2024 |
| Rotationally symmetric Ricci flow on F Di Giovanni Advances in Mathematics 381, 2019 | 8* | 2019 |
| Metric flow matching for smooth interpolations on the data manifold K Kapuśniak, P Potaptchik, T Reu, L Zhang, A Tong, M Bronstein, AJ Bose, ... arXiv preprint arXiv:2405.14780, 2024 | 5 | 2024 |
| Ricci flow of warped Berger metrics on R4 F Di Giovanni Calculus of Variations and Partial Differential Equations 59 (162), 2019 | 5 | 2019 |
| Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity J Southern*, F Di Giovanni*, M Bronstein, JF Lutzeyer arXiv preprint arXiv:2405.13526, 2024 | 2 | 2024 |
| Can strong structural encoding reduce the importance of Message Passing? F Eijkelboom, EJ Bekkers, MM Bronstein, F Di Giovanni Topological, Algebraic and Geometric Learning Workshops 2023, 278-288, 2023 | 1 | 2023 |
| Over-squashing and over-smoothing through the lenses of curvature and multi-particle dynamics F Di Giovanni | 1 | 2022 |
| Graph neural diffusion B Chamberlain, C Bodnar, F Di Giovanni, MM Bronstein US Patent App. 17/650,219, 2022 | 1 | 2022 |
| Convergence of Ricci flow solutions to Taub-NUT F Di Giovanni Communications in Partial Differential Equations 46 (8), 1521-1568, 2021 | 1 | 2021 |
| Relaxed Equivariance via Multitask Learning AA Elhag, TK Rusch, F Di Giovanni, M Bronstein arXiv preprint arXiv:2410.17878, 2024 | | 2024 |
| Advancing Graph Convolutional Networks via General Spectral Wavelets N Liu, X He, T Laurent, F Di Giovanni, MM Bronstein, X Bresson arXiv preprint arXiv:2405.13806, 2024 | | 2024 |
