2 papers
stat.ML2026
Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
André Ribeiro, Germano Barcelos, Amauri H. Souza +2
Graph Neural Networks (GNNs) often struggle to capture long-range dependencies due to over-squashing -- a phenomenon in which the repeated compression of node embeddings into finit…
cs.LG2025
Cooperative Sheaf Neural Networks
André Ribeiro, Ana Luiza Tenório, Juan Belieni +2
Sheaf diffusion has recently emerged as a promising design pattern for graph representation learning due to its inherent ability to handle heterophilic data and avoid oversmoothing…