Momentum-Conserving Graph Neural Networks for Deformable Objects

Jiahong Wang, Logan Numerow, Stelian Coros +3

Graph neural networks (GNNs) have emerged as a versatile and efficient option for modeling the dynamic behavior of deformable materials. While GNNs generalize readily to arbitrary…