A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations

Hang Hu, Sidi Wu, Guoxiong Cai +1

Physics-informed neural networks (PINNs) have successfully addressed various computational physics problems based on partial differential equations (PDEs). However, while tackling…