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Francesco Di Giovanni
Francesco Di Giovanni
Senior Research Scientist, Valence Labs @ Recursion Pharma
Verified email at valencelabs.com - Homepage
Title
Cited by
Cited by
Year
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
4902021
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
1742022
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
1262023
Understanding convolution on graphs via energies
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
Transactions on Machine Learning Research, 2022
94*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
842021
Drew: Dynamically rewired message passing with delay
B Gutteridge, X Dong, MM Bronstein, F Di Giovanni
International Conference on Machine Learning, 12252-12267, 2023
642023
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
562024
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
34*2024
Heterogeneous manifolds for curvature-aware graph embedding
F Di Giovanni*, G Luise*, M Bronstein
ICLR 2022 GTRL Workshop, 2022
282022
Locality-Aware Graph-Rewiring in GNNs
F Barbero, A Velingker, A Saberi, M Bronstein, F Di Giovanni
ICLR 2024, 2024
202024
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
52024
Ricci flow of warped Berger metrics on R4
F Di Giovanni
Calculus of Variations and Partial Differential Equations 59 (162), 2019
52019
Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity
J Southern*, F Di Giovanni*, M Bronstein, JF Lutzeyer
arXiv preprint arXiv:2405.13526, 2024
32024
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
12023
Over-squashing and over-smoothing through the lenses of curvature and multi-particle dynamics
F Di Giovanni
12022
Graph neural diffusion
B Chamberlain, C Bodnar, F Di Giovanni, MM Bronstein
US Patent App. 17/650,219, 2022
12022
Convergence of Ricci flow solutions to Taub-NUT
F Di Giovanni
Communications in Partial Differential Equations 46 (8), 1521-1568, 2021
12021
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
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