Convolutional neural network architectures for signals supported on graphs F Gama, AG Marques, G Leus, A Ribeiro IEEE Transactions on Signal Processing 67 (4), 1034-1049, 2018 | 300 | 2018 |
Graph neural networks for decentralized multi-robot path planning Q Li, F Gama, A Ribeiro, A Prorok 2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020 | 241 | 2020 |
Stability properties of graph neural networks F Gama, J Bruna, A Ribeiro IEEE Transactions on Signal Processing 68, 5680-5695, 2020 | 215 | 2020 |
Learning decentralized controllers for robot swarms with graph neural networks E Tolstaya, F Gama, J Paulos, G Pappas, V Kumar, A Ribeiro Conference on robot learning, 671-682, 2020 | 176 | 2020 |
Graphs, convolutions, and neural networks: From graph filters to graph neural networks F Gama, E Isufi, G Leus, A Ribeiro IEEE Signal Processing Magazine 37 (6), 128-138, 2020 | 163 | 2020 |
Gated graph recurrent neural networks L Ruiz, F Gama, A Ribeiro IEEE Transactions on Signal Processing 68, 6303-6318, 2020 | 141 | 2020 |
Optimal power flow using graph neural networks D Owerko, F Gama, A Ribeiro ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 134 | 2020 |
Graph neural networks: Architectures, stability, and transferability L Ruiz, F Gama, A Ribeiro Proceedings of the IEEE 109 (5), 660-682, 2021 | 112 | 2021 |
Diffusion scattering transforms on graphs F Gama, A Ribeiro, J Bruna arXiv preprint arXiv:1806.08829, 2018 | 100 | 2018 |
Stability of graph scattering transforms F Gama, A Ribeiro, J Bruna Advances in Neural Information Processing Systems 32, 2019 | 81 | 2019 |
EdgeNets: Edge varying graph neural networks E Isufi, F Gama, A Ribeiro IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7457 …, 2021 | 77 | 2021 |
Predicting power outages using graph neural networks D Owerko, F Gama, A Ribeiro 2018 ieee global conference on signal and information processing (globalsip …, 2018 | 71 | 2018 |
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 | 55 | 2019 |
Synthesizing decentralized controllers with graph neural networks and imitation learning F Gama, Q Li, E Tolstaya, A Prorok, A Ribeiro IEEE Transactions on Signal Processing 70, 1932-1946, 2022 | 39* | 2022 |
Gated graph convolutional recurrent neural networks L Ruiz, F Gama, A Ribeiro 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 38 | 2019 |
Wide and deep graph neural network with distributed online learning Z Gao, F Gama, A Ribeiro IEEE Transactions on Signal Processing 70, 3862-3877, 2022 | 35 | 2022 |
Graph filters for signal processing and machine learning on graphs E Isufi, F Gama, DI Shuman, S Segarra IEEE Transactions on Signal Processing, 2024 | 32 | 2024 |
Graph neural networks for decentralized controllers F Gama, E Tolstaya, A Ribeiro ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
Controllability of bandlimited graph processes over random time varying graphs F Gama, E Isufi, A Ribeiro, G Leus IEEE Transactions on Signal Processing 67 (24), 6440-6454, 2019 | 26 | 2019 |
Convolutional neural networks via node-varying graph filters F Gama, G Leus, AG Marques, A Ribeiro 2018 IEEE Data Science Workshop (DSW), 1-5, 2018 | 25 | 2018 |