Graph Prediction

SIGNAL ANALYSIS

Graph prediction models struggle to quantify uncertainty. A new approach uses Z-Gromov-Wasserstein distances for conformal graph prediction, which could improve uncertainty estimates. This might help in applications where graph outputs are critical, but we don't know yet how well it works in practice.