2 papers
stat.ML2026
Conformal Graph Prediction with Z-Gromov-Wasserstein Distances
Gabriel Melo, Thibaut de Saivre, Anna Calissano +1
Supervised graph prediction addresses regression problems where the outputs are structured graphs. Although several approaches exist for graph-valued prediction, principled uncerta…
stat.ML2026
Topological Spatial Graph Coarsening
Anna Calissano, Etienne Lasalle
Spatial graphs are particular graphs for which the nodes are localized in space (e.g., public transport network, molecules, branching biological structures). In this work, we consi…