Nodal domain count for the generalized graph p-Laplacian P Deidda, M Putti, F Tudisco Applied and Computational Harmonic Analysis 64, 1-32, 2023 | 19 | 2023 |
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias E Zangrando, P Deidda, S Brugiapaglia, N Guglielmi, F Tudisco arXiv preprint arXiv:2402.03991, 2024 | 5 | 2024 |
The graph p-Laplacian eigenvalue problem P Deidda Università degli studi di Padova, 2023 | 3 | 2023 |
Graph -Laplacian eigenpairs as saddle points of a family of spectral energy functions P Deidda, N Segala, M Putti arXiv preprint arXiv:2405.07056, 2024 | 2 | 2024 |
Algebras Closed by J-Hermitianity in Displacement Formulas E Bozzo, P Deidda, C Di Fiore Computational Mathematics and Mathematical Physics 61 (5), 674-683, 2021 | 1 | 2021 |
Rethinking Oversmoothing in Graph Neural Networks: A Rank-Based Perspective P Deidda, K Zhang, D Higham, F Tudisco arXiv preprint arXiv:2502.04591, 2025 | | 2025 |
A Low-Rank Perspective on Oversmoothing in Graph Neural Networks K Zhang, P Deidda, DHF Tudisco | | 2025 |
The graph -Laplacian eigenvalue problem P Deidda, M Burger, M Putti, F Tudisco arXiv preprint arXiv:2410.19666, 2024 | | 2024 |
The Jordan and Frobenius pairs of the inverse E Bozzo, P Deidda, C Di Fiore Linear and Multilinear Algebra 71 (10), 1730-1735, 2023 | | 2023 |