2025
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
NeurIPS 2025poster
To enhance the generalization ability of graph neural networks (GNNs) in learning and simulation physical dynamics, a series of equivariant GNNs have been developed to incorporate the symmetric inductive bias. However, the existing methods do not take into account the non-stationarity nature of phys…