2 papers
cs.LG2026
Probing Graph Neural Network Activation Patterns Through Graph Topology
Floriano Tori, Lorenzo Bini, Marco Sorbi +2
Curvature notions on graphs provide a theoretical description of graph topology, highlighting bottlenecks and denser connected regions. Artifacts of the message passing paradigm in…
cs.LG2025
Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
Lorenzo Bini, Marco Sorbi, Stephane Marchand-Maillet
Graph Neural Networks (GNNs) have become increasingly popular for effectively modeling graph-structured data, and attention mechanisms have been pivotal in enabling these models to…