| Gated graph recurrent neural networks L Ruiz, F Gama, A Ribeiro IEEE Transactions on Signal Processing 68, 6303-6318, 2020 | 264 | 2020 |
| Graphon neural networks and the transferability of graph neural networks L Ruiz, L Chamon, A Ribeiro Advances in Neural Information Processing Systems 33, 1702-1712, 2020 | 215 | 2020 |
| Graph neural networks: Architectures, stability, and transferability L Ruiz, F Gama, A Ribeiro Proceedings of the IEEE 109 (5), 660-682, 2021 | 186 | 2021 |
| Graphon signal processing L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 69, 4961-4976, 2021 | 97 | 2021 |
| Transferability properties of graph neural networks L Ruiz, LFO Chamon, A Ribeiro IEEE Transactions on Signal Processing 71, 3474-3489, 2023 | 66 | 2023 |
| Invariance-preserving localized activation functions for graph neural networks L Ruiz, F Gama, AG Marques, A Ribeiro IEEE Transactions on Signal Processing 68, 127-141, 2019 | 66 | 2019 |
| Gated graph convolutional recurrent neural networks L Ruiz, F Gama, A Ribeiro 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 44 | 2019 |
| The graphon fourier transform L Ruiz, LFO Chamon, A Ribeiro ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 38 | 2020 |
| Learning by transference: Training graph neural networks on growing graphs J Cervino, L Ruiz, A Ribeiro IEEE Transactions on Signal Processing 71, 233-247, 2023 | 30 | 2023 |
| Convolutional neural networks on manifolds: From graphs and back Z Wang, L Ruiz, A Ribeiro 2022 56th Asilomar Conference on Signals, Systems, and Computers, 356-360, 2022 | 27 | 2022 |
| Graph neural tangent kernel: Convergence on large graphs S Krishnagopal, L Ruiz International Conference on Machine Learning, 17827-17841, 2023 | 25 | 2023 |
| Stability of neural networks on manifolds to relative perturbations Z Wang, L Ruiz, A Ribeiro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 23 | 2022 |
| Graphon and graph neural network stability L Ruiz, Z Wang, A Ribeiro ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 23 | 2021 |
| Stability to deformations of manifold filters and manifold neural networks Z Wang, L Ruiz, A Ribeiro IEEE Transactions on Signal Processing 72, 2130-2146, 2024 | 19 | 2024 |
| Geometric graph filters and neural networks: Limit properties and discriminability trade-offs Z Wang, L Ruiz, A Ribeiro IEEE Transactions on Signal Processing 72, 2244-2259, 2024 | 18 | 2024 |
| Training stable graph neural networks through constrained learning J Cerviño, L Ruiz, A Ribeiro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 17 | 2022 |
| Stability of neural networks on riemannian manifolds Z Wang, L Ruiz, A Ribeiro 2021 29th European Signal Processing Conference (EUSIPCO), 1845-1849, 2021 | 17 | 2021 |
| Graphon pooling in graph neural networks A Parada-Mayorga, L Ruiz, A Ribeiro 2020 28th European Signal Processing Conference (EUSIPCO), 860-864, 2021 | 16 | 2021 |
| Median activation functions for graph neural networks L Ruiz, F Gama, AG Marques, A Ribeiro ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
| Graphon filters: Signal processing in very large graphs L Ruiz, LFO Chamon, A Ribeiro 2020 28th European Signal Processing Conference (EUSIPCO), 1050-1054, 2021 | 11 | 2021 |
