most citedGNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

physics.ao-ph2022★ 1 cited

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations

Neng Shi, Jiayi Xu, Skylar W. Wurster +4

We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for dom…

cs.GR2018

CNNs based Viewpoint Estimation for Volume Visualization

Neng Shi, Yubo Tao

Viewpoint estimation from 2D rendered images is helpful in understanding how users select viewpoints for volume visualization and guiding users to select better viewpoints based on…