Equivariant Graph Neural ODEs for Modeling Physical Dynamics
Modeling 3D dynamical systems is a fundamental challenge in the physical and engineering sciences, where Equivariant Graph Neural Networks (EGNNs) have emerged as a powerful paradigm by incorporating geometric symmetries. However, these models are fundamentally constrained by their discrete-time, Markovian framework, w...
Jia-Wei Chen, Lu-Jie Yin, Yu-Qi Li et al.
· ACM International Conference... · 0 citations