Luana Ruiz

发表

Learning by Transference: Training Graph Neural Networks on Growing Graphs

Alejandro Ribeiro, J. Cerviño, Luana Ruiz, 2021, 2106.03693.

Increase and Conquer: Training Graph Neural Networks on Growing Graphs

Alejandro Ribeiro, J. Cerviño, Luana Ruiz, 2021, ArXiv.

Learning by Transference: Training Graph Neural Networks on Growing Graphs

Alejandro Ribeiro, J. Cerviño, Luana Ruiz, 2021, IEEE Transactions on Signal Processing.

Stability to Deformations in Manifold Neural Networks

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2022 .

Convolutional Neural Networks on Manifolds: From Graphs and Back

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2022, 2022 56th Asilomar Conference on Signals, Systems, and Computers.

Transferability Properties of Graph Neural Networks pdf

Alejandro Ribeiro, Luiz F. O. Chamon, Luana Ruiz, 2021, ArXiv.

Training Stable Graph Neural Networks Through Constrained Learning pdf

Alejandro Ribeiro, Luana Ruiz, Juan Cervino, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transferability Properties of Graph Neural Networks

Luiz F. O. Chamon, Alejandro Ribeiro, Luana Ruiz, 2021, ArXiv.

Transferability Properties of Graph Neural Networks

Luiz F. O. Chamon, Alejandro Ribeiro, Luana Ruiz, 2021, IEEE Transactions on Signal Processing.

Convolutional Filtering on Sampled Manifolds

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stability to Deformations of Manifold Filters and Manifold Neural Networks

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2021, 2106.03725.

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Alejandro Ribeiro, Fernando Gama, Antonio G. Marques, 2019, IEEE Transactions on Signal Processing.

Gated Graph Recurrent Neural Networks

Fernando Gama, Alejandro Ribeiro, Luana Ruiz, 2020, IEEE Transactions on Signal Processing.

Graphon Neural Networks and the Transferability of Graph Neural Networks pdf

Alejandro Ribeiro, Luiz F. O. Chamon, Luana Ruiz, 2020, NeurIPS.

Graph Neural Networks: Architectures, Stability, and Transferability

Fernando Gama, Alejandro Ribeiro, Luana Ruiz, 2020, Proceedings of the IEEE.

Graph Neural Tangent Kernel: Convergence on Large Graphs

Sanjukta Krishnagopal, Luana Ruiz, 2023, ICML.

Graphon Signal Processing

Luiz F. O. Chamon, Alejandro Ribeiro, Luana Ruiz, 2020, IEEE Transactions on Signal Processing.

Training Graph Neural Networks on Growing Stochastic Graphs

Alejandro Ribeiro, J. Cerviño, Luana Ruiz, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graphon and Graph Neural Network Stability

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stability of Neural Networks on Riemannian Manifolds

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Stability of Manifold Neural Networks to Deformations pdf

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2021, ArXiv.

Graphon Filters: Signal Processing in Very Large Graphs

Alejandro Ribeiro, Luiz F. O. Chamon, Luana Ruiz, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

The Graphon Fourier Transform

Luiz F. O. Chamon, Alejandro Ribeiro, Luana Ruiz, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gated Graph Convolutional Recurrent Neural Networks

Alejandro Ribeiro, Fernando Gama, Luana Ruiz, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Stability of Neural Networks on Manifolds to Relative Perturbations pdf

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graph Neural Networks for Community Detection on Sparse Graphs

Soledad Villar, Luana Ruiz, Ningyuan Huang, 2022, ArXiv.

Transferability Properties of Graph Neural Networks

Luiz F. O. Chamon, Alejandro Ribeiro, Luana Ruiz, 2021, IEEE Transactions on Signal Processing.

Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2023, ArXiv.

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks

Mark Eisen, Alejandro Ribeiro, Zhiyang Wang, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training Stable Graph Neural Networks Through Constrained Learning

Alejandro Ribeiro, J. Cerviño, Luana Ruiz, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stability to Deformations of Manifold Filters and Manifold Neural Networks

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2021, IEEE Transactions on Signal Processing.

Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2023, arXiv.org.

Stability of Neural Networks on Riemannian Manifolds

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2021, European Signal Processing Conference.

Graph and graphon neural network stability

Zhiyang Wang, Alejandro Ribeiro, Luana Ruiz, 2020, ArXiv.

A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs

Soledad Villar, Luana Ruiz, Ningyuan Huang, 2022, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks pdf

Fernando Gama, Alejandro Ribeiro, Elvin Isufi, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graphon and Graph Neural Network Stability pdf

Alejandro Ribeiro, Zhiyang Wang, Luana Ruiz, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).