8 citations · 20 across the 6 of their papers we have counts for
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cs.LG2025
An Operator-Consistent Graph Neural Network for Learning Diffusion Dynamics on Irregular Meshes
Yuelian Li, Andrew Rushing Hands
Classical numerical methods solve partial differential equations (PDEs) efficiently on regular meshes, but many of them become unstable on irregular domains. In practice, multiphys…
cs.GR2025★ 3 cited
Self-supervised Learning of Latent Space Dynamics
Yue Li, Gene Wei-Chin Lin, Egor Larionov +7
Modeling the dynamic behavior of deformable objects is crucial for creating realistic digital worlds. While conventional simulations produce high-quality motions, their computation…
physics.flu-dyn2025★ 4 cited
LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method
Yue Li
In this paper, we present LBM-GNN, a novel approach that enhances the traditional Lattice Boltzmann Method (LBM) with Graph Neural Networks (GNNs). We apply this method to fluid dy…