A Graph Neural Network Approach for Accelerating Metal Sintering Deformation Prediction in Digital Twin Applications

A graph neural network-based approach is proposed to substantially speed up the metal sintering deformation prediction process while maintaining reasonable accuracy, enabling faster digital twin applications.