7 citations · 16 across the 22 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021
Training Stable Graph Neural Networks Through Constrained Learning
Juan Cervino, Luana Ruiz, Alejandro Ribeiro
Graph Neural Networks (GNN) rely on graph convolutions to learn features from network data. GNNs are stable to different types of perturbations of the underlying graph, a property…
cs.LG2021★ 1 cited
Learning by Transference: Training Graph Neural Networks on Growing Graphs
Juan Cervino, Luana Ruiz, Alejandro Ribeiro
Graph neural networks (GNNs) use graph convolutions to exploit network invariances and learn meaningful feature representations from network data. However, on large-scale graphs co…