Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
Luca Miglior, Matteo Tolloso, Alessio Gravina +1
Effectively capturing long-range interactions remains a fundamental yet unresolved challenge in graph neural network (GNN) research, critical for applications across diverse fields…
cs.LG2026
Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity
Leonardo Stoppani, Davide Bacciu, Shahab Mokarizadeh
Diffusion models have become widely popular for automated floorplan generation, producing highly realistic layouts conditioned on user-defined constraints. However, optimizing for…
cs.LG2025
Credal Graph Neural Networks
Matteo Tolloso, Davide Bacciu
Uncertainty quantification is essential for deploying reliable Graph Neural Networks (GNNs), where existing approaches primarily rely on Bayesian inference or ensembles. In this pa…