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ORCIDGiuseppe Alessio D'Inverno
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2020 – today
- 2025
[j4]Giuseppe Alessio D'Inverno
, Jonathan Dong:
Comparison of Reservoir Computing topologies using the Recurrent Kernel approach. Neurocomputing 611: 128679 (2025)- 2024
- [j3]Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas:
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs. Neural Networks 173: 106213 (2024) - [j2]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. Neural Networks 178: 106465 (2024) - [j1]Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli:
On the approximation capability of GNNs in node classification/regression tasks. Soft Comput. 28(13-14): 8527-8547 (2024) - [i7]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. CoRR abs/2401.03824 (2024) - [i6]Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli:
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR abs/2401.12362 (2024) - [i5]Giuseppe Alessio D'Inverno, Jonathan Dong:
Extension of Recurrent Kernels to different Reservoir Computing topologies. CoRR abs/2401.14557 (2024) - [i4]Anna Varbella, Damien Briens, Blazhe Gjorgiev, Giuseppe Alessio D'Inverno, Giovanni Sansavini:
Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow. CoRR abs/2410.04818 (2024) - 2023
- [i3]Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli:
Generalization Limits of Graph Neural Networks in Identity Effects Learning. CoRR abs/2307.00134 (2023) - 2022
- [i2]Silvia Beddar-Wiesing, Giuseppe Alessio D'Inverno, Caterina Graziani, Veronica Lachi, Alice Moallemy-Oureh, Franco Scarselli, Josephine Maria Thomas:
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. CoRR abs/2210.03990 (2022) - 2021
- [i1]Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli:
A unifying point of view on expressive power of GNNs. CoRR abs/2106.08992 (2021)
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