36 citations · 75 across the 12 of their papers we have counts for
10 papers · 1 filter
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
Effective communication is key to successful, decentralized, multi-robot path planning. Yet, it is far from obvious what information is crucial to the task at hand, and how and whe…
Optimal Power Flow Using Graph Neural Networks
Damian Owerko, Fernando Gama, Alejandro Ribeiro
Optimal power flow (OPF) is one of the most important optimization problems in the energy industry. In its simplest form, OPF attempts to find the optimal power that the generators…
Stability of Graph Neural Networks to Relative Perturbations
Fernando Gama, Joan Bruna, Alejandro Ribeiro
Graph neural networks (GNNs), consisting of a cascade of layers applying a graph convolution followed by a pointwise nonlinearity, have become a powerful architecture to process si…
Stability of Graph Scattering Transforms
Fernando Gama, Joan Bruna, Alejandro Ribeiro
Scattering transforms are non-trainable deep convolutional architectures that exploit the multi-scale resolution of a wavelet filter bank to obtain an appropriate representation of…
Stability Properties of Graph Neural Networks
Fernando Gama, Joan Bruna, Alejandro Ribeiro
Graph neural networks (GNNs) have emerged as a powerful tool for nonlinear processing of graph signals, exhibiting success in recommender systems, power outage prediction, and moti…
Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs
Fernando Gama, Elvin Isufi, Alejandro Ribeiro +1
Controllability of complex networks arises in many technological problems involving social, financial, road, communication, and smart grid networks. In many practical situations, t…