Luana Ruiz - RankMe

65 papers A* 3B 1Misc 13Journal 39Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Generative Model for Controllable Feature Heterophily in Graphs. CoRR Haoyu Wang, Renyuan Ma, Gonzalo Mateos, Luana Ruiz
2025	B	`conf`	A Local Graph Limits Perspective on Sampling-Based GNNs. ISIT Yeganeh Alimohammadi, Luana Ruiz, Amin Saberi
2025	J	`jnl`	A Short Note on Upper Bounds for Graph Neural Operator Convergence Rate. CoRR Roxanne Holden, Luana Ruiz
2025	—	`conf`	Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling. IEEECONF Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz
2025	J	`jnl`	Dirichlet Meets Horvitz and Thompson: Estimating Homophily in Large Networks via Sampling. CoRR Hamed Ajorlou, Gonzalo Mateos, Luana Ruiz
2025	—	`conf`	Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs. EUSIPCO Haolin Li, Haoyu Wang, Luana Ruiz
2025	J	`jnl`	Graph Semi-Supervised Learning for Point Classification on Data Manifolds. CoRR Caio F. Deberaldini Netto, Zhiyang Wang, Luana Ruiz
2025	Misc	`conf`	Improved Image Classification with Manifold Neural Networks. ICASSP Caio F. Deberaldini Netto, Zhiyang Wang, Luana Ruiz
2025	J	`jnl`	Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs. CoRR My Le, Luana Ruiz, Souvik Dhara
2025	J	`jnl`	Subsampling Graphs with GNN Performance Guarantees. CoRR Mika Sarkin Jain, Stefanie Jegelka, Ishani Karmarkar, Luana Ruiz, Ellen Vitercik
2024	A*	`conf`	A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. ICLR Thien Le, Luana Ruiz, Stefanie Jegelka
2024	Misc	`conf`	A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs. ICASSP Luana Ruiz, Ningyuan Teresa Huang, Soledad Villar
2024	J	`jnl`	Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs. IEEE Trans. Signal Process. Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2024	J	`jnl`	Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs. CoRR Haolin Li, Luana Ruiz
2024	J	`jnl`	Improved Image Classification with Manifold Neural Networks. CoRR Caio F. Deberaldini Netto, Zhiyang Wang, Luana Ruiz
2024	J	`jnl`	Stability to Deformations of Manifold Filters and Manifold Neural Networks. IEEE Trans. Signal Process. Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	A Local Graph Limits Perspective on Sampling-Based GNNs. CoRR Yeganeh Alimohammadi, Luana Ruiz, Amin Saberi
2023	J	`jnl`	A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. CoRR Thien Le, Luana Ruiz, Stefanie Jegelka
2023	Misc	`conf`	Convergence of Graph Neural Networks on Relatively Sparse Graphs. ACSSC Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	Misc	`conf`	Convolutional Filtering on Sampled Manifolds. ICASSP Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2023	A*	`conf`	Graph Neural Tangent Kernel: Convergence on Large Graphs. ICML Sanjukta Krishnagopal, Luana Ruiz
2023	J	`jnl`	Graph Neural Tangent Kernel: Convergence on Large Graphs. CoRR Sanjukta Krishnagopal, Luana Ruiz
2023	J	`jnl`	Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2023	Misc	`conf`	Training Graph Neural Networks on Growing Stochastic Graphs. ICASSP Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2023	J	`jnl`	Transferability Properties of Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2022	J	`jnl`	Convolutional Filtering on Sampled Manifolds. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	—	`conf`	Convolutional Neural Networks on Manifolds: From Graphs and Back. IEEECONF Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Convolutional Neural Networks on Manifolds: From Graphs and Back. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	J	`jnl`	Graph Neural Networks for Community Detection on Sparse Graphs. CoRR Luana Ruiz, Ningyuan Huang, Soledad Villar
2022	Misc	`conf`	Stability of Neural Networks on Manifolds to Relative Perturbations. ICASSP Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2022	Misc	`conf`	Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. ICASSP Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
2022	J	`jnl`	Training Graph Neural Networks on Growing Stochastic Graphs. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2022	Misc	`conf`	Training Stable Graph Neural Networks Through Constrained Learning. ICASSP Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Graph Neural Networks: Architectures, Stability, and Transferability. Proc. IEEE Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2021	J	`jnl`	Graphon Signal Processing. IEEE Trans. Signal Process. Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	Misc	`conf`	Graphon and Graph Neural Network Stability. ICASSP Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
2021	J	`jnl`	Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Iterative Decoding for Compositional Generalization in Transformers. CoRR Luana Ruiz, Joshua Ainslie, Santiago Ontañón
2021	Misc	`conf`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2021	J	`jnl`	Stability of Manifold Neural Networks to Deformations. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Stability of Neural Networks on Manifolds to Relative Perturbations. CoRR Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	—	`conf`	Stability of Neural Networks on Riemannian Manifolds. EUSIPCO Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Training Stable Graph Neural Networks Through Constrained Learning. CoRR Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
2021	J	`jnl`	Transferability Properties of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2021	—	`conf`	Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. ACSCC Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Gated Graph Recurrent Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graph Neural Networks: Architectures, Stability and Transferability. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	J	`jnl`	Graph and graphon neural network stability. CoRR Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
2020	—	`conf`	Graph-Adaptive Activation Functions for Graph Neural Networks. MLSP Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi
2020	—	`conf`	Graphon Filters: Signal Processing in Very Large Graphs. EUSIPCO Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	A*	`conf`	Graphon Neural Networks and the Transferability of Graph Neural Networks. NeurIPS Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	J	`jnl`	Graphon Neural Networks and the Transferability of Graph Neural Networks. CoRR Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2020	—	`conf`	Graphon Pooling in Graph Neural Networks. EUSIPCO Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020	J	`jnl`	Graphon Pooling in Graph Neural Networks. CoRR Alejandro Parada-Mayorga, Luana Ruiz, Alejandro Ribeiro
2020	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. IEEE Trans. Signal Process. Luana Ruiz, Fernando Gama, Antonio Garcia Marques, Alejandro Ribeiro
2020	J	`jnl`	Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi
2020	Misc	`conf`	Spatial Gating Strategies for Graph Recurrent Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2020	Misc	`conf`	The Graphon Fourier Transform. ICASSP Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro
2019	—	`conf`	Gated Graph Convolutional Recurrent Neural Networks. EUSIPCO Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Gated Graph Convolutional Recurrent Neural Networks. CoRR Luana Ruiz, Fernando Gama, Alejandro Ribeiro
2019	J	`jnl`	Invariance-Preserving Localized Activation Functions for Graph Neural Networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2019	Misc	`conf`	Median Activation Functions for Graph Neural Networks. ICASSP Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro
2018	J	`jnl`	Median activation functions for graph neural networks. CoRR Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro