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Izhar Ali

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#graph neural networks Open access Aug 2026

Uncertainty quantification using conformal prediction for mesh-based simulations.

A post hoc conformal prediction framework is developed that wraps any trained graph neural network (GNN) surrogate to produce prediction sets with coverage near-nominal levels, and componentwise adaptive (CW-Adaptive) method emerges as the robust universal choice.

Samira Mabtoul, Izhar Ali, Shen-Shyang Ho · Philosophical transactions.... · 1 citation