Dataset with the node discretisations employed for training advection models in "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics"

Dataset with the node discretisations employed for training advection models in "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics" (https://doi.org/10.1063/5.0097679). The training code is available at https://github.com/mario-linov/graphs4cfd.本数据集包含用于训练平流模型（advection models）的节点离散化（node discretisations）方案，该方案出自论文《用于非定常欧拉流体动力学的多尺度旋转等变图神经网络》（Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics，https://doi.org/10.1063/5.0097679）。相关训练代码可于https://github.com/mario-linov/graphs4cfd获取。