Monotone Physics-Constrained Graph Neural Networks for Image-Based Structural Damage Assessment: Theory and Leakage-Free Evaluation
Image-based structural damage assessment requires automated methods that respect physical constraints. We formulate graph-neural-network message passing as a pseudo-time iteration of a monotone operator on a spatial-region graph. Under non-negative projected weights, order-preserving activations, and a self-loop maximu...