Conformal Graph Prediction with Z-Gromov Wasserstein Distances

arXiv:2603.02460v2 Announce Type: replace-cross Abstract: Supervised graph prediction addresses regression problems where the outputs are structured graphs. Although several approaches exist for graph-valued prediction, principled uncertainty quantification remains limited. We...

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