A GNN trained on air traffic graphs predicts controller clearances and, through aircraft ablation, provides an interpretable per-aircraft task demand score.
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Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity
A GNN trained on air traffic graphs predicts controller clearances and, through aircraft ablation, provides an interpretable per-aircraft task demand score.