Luana Ruiz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Riemannian Manifolds

Directed Acyclic

Graph Representation

Top Venues

IEEE Trans. Signal Process.

Publications

Luana Ruiz, Ningyuan Teresa Huang, Soledad Villar
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs. ICASSP (2024)
Thien Le, Luana Ruiz, Stefanie Jegelka
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. ICLR (2024)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs. IEEE Trans. Signal Process. 72 (2024)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Stability to Deformations of Manifold Filters and Manifold Neural Networks. IEEE Trans. Signal Process. 72 (2024)
Sanjukta Krishnagopal, Luana Ruiz
Graph Neural Tangent Kernel: Convergence on Large Graphs. ICML (2023)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs. CoRR (2023)
Thien Le, Luana Ruiz, Stefanie Jegelka
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. CoRR (2023)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. 71 (2023)
Sanjukta Krishnagopal, Luana Ruiz
Graph Neural Tangent Kernel: Convergence on Large Graphs. CoRR (2023)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convergence of Graph Neural Networks on Relatively Sparse Graphs. ACSSC (2023)
Yeganeh Alimohammadi, Luana Ruiz, Amin Saberi
A Local Graph Limits Perspective on Sampling-Based GNNs. CoRR (2023)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. 71 (2023)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Training Graph Neural Networks on Growing Stochastic Graphs. ICASSP (2023)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convolutional Filtering on Sampled Manifolds. ICASSP (2023)
Luana Ruiz, Ningyuan Huang, Soledad Villar
Graph Neural Networks for Community Detection on Sparse Graphs. CoRR (2022)
Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP (2022)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convolutional Neural Networks on Manifolds: From Graphs and Back. CoRR (2022)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convolutional Neural Networks on Manifolds: From Graphs and Back. IEEECONF (2022)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Convolutional Filtering on Sampled Manifolds. CoRR (2022)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Stability of Neural Networks on Manifolds to Relative Perturbations. ICASSP (2022)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Training Graph Neural Networks on Growing Stochastic Graphs. CoRR (2022)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Training Stable Graph Neural Networks Through Constrained Learning. ICASSP (2022)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Stability of Manifold Neural Networks to Deformations. CoRR (2021)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE 109 (5) (2021)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP (2021)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Training Stable Graph Neural Networks Through Constrained Learning. CoRR (2021)
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
Graphon and Graph Neural Network Stability. ICASSP (2021)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Stability of Neural Networks on Riemannian Manifolds. EUSIPCO (2021)
Luana Ruiz, Joshua Ainslie, Santiago Ontañón
Iterative Decoding for Compositional Generalization in Transformers. CoRR (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Signal Processing. IEEE Trans. Signal Process. 69 (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC (2021)
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Stability of Neural Networks on Manifolds to Relative Perturbations. CoRR (2021)
Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR (2021)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Transferability Properties of Graph Neural Networks. CoRR (2021)
Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
Graphon Pooling in Graph Neural Networks. EUSIPCO (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Graph Neural Networks: Architectures, Stability and Transferability. CoRR (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
The Graphon Fourier Transform. ICASSP (2020)
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
Graph and graphon neural network stability. CoRR (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Gated Graph Recurrent Neural Networks. CoRR (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO (2020)
Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
Graphon Pooling in Graph Neural Networks. CoRR (2020)
Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR (2020)
Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. 68 (2020)
Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi
Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP (2020)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. 68 (2020)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Median Activation Functions for Graph Neural Networks. ICASSP (2019)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO (2019)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR (2019)
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Gated Graph Convolutional Recurrent Neural Networks. CoRR (2019)
Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
Median activation functions for graph neural networks. CoRR (2018)