Francesco Di Giovanni
Francesco Di Giovanni
Senior Research Associate, University of Oxford
Verified email at - Homepage
Cited by
Cited by
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
Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns
C Bodnar, F Di Giovanni, BP Chamberlain, P LiÚ, MM Bronstein
NeurIPS 2022, 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
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
Understanding convolution on graphs via energies
F Di Giovanni, J Rowbottom, BP Chamberlain, T Markovich, MM Bronstein
Transactions on Machine Learning Research, 2023
Heterogeneous manifolds for curvature-aware graph embedding
F Di Giovanni*, G Luise*, M Bronstein
ICLR 2022 GTRL Workshop, 2022
Drew: Dynamically rewired message passing with delay
B Gutteridge, X Dong, MM Bronstein, F Di Giovanni
International Conference on Machine Learning, 12252-12267, 2023
How does over-squashing affect the power of GNNs?
F Di Giovanni, TK Rusch, MM Bronstein, A Deac, M Lackenby, S Mishra, ...
arXiv preprint arXiv:2306.03589, 2023
Edge Directionality Improves Learning on Heterophilic Graphs
E Rossi, B Charpentier, F Di Giovanni, F Frasca, S GŁnnemann, ...
arXiv preprint arXiv:2305.10498, 2023
Rotationally symmetric Ricci flow on
F Di Giovanni
Advances in Mathematics 381, 2019
Ricci flow of warped Berger metrics on R4
F Di Giovanni
Calculus of Variations and Partial Differential Equations 59 (162), 2019
Locality-Aware Graph-Rewiring in GNNs
F Barbero, A Velingker, A Saberi, M Bronstein, F Di Giovanni
arXiv preprint arXiv:2310.01668, 2023
Over-squashing and over-smoothing through the lenses of curvature and multi-particle dynamics
F Di Giovanni
Convergence of Ricci flow solutions to Taub-NUT
F Di Giovanni
Communications in Partial Differential Equations 46 (8), 1521-1568, 2021
Can strong structural encoding reduce the importance of Message Passing?
F Eijkelboom, EJ Bekkers, MM Bronstein, F Di Giovanni
Graph neural diffusion
B Chamberlain, C Bodnar, F Di Giovanni, MM Bronstein
US Patent App. 17/650,219, 2022
Type-II singularities and long-time convergence of rotationally symmetric Ricci flows
F Di Giovanni
UCL (University College London), 2021
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