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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022

Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison

Lin Yan, Paul Aaron Ullrich, Luke P. Van Roekel +2

Critical point tracking is a core topic in scientific visualization for understanding the dynamic behavior of time-varying vector field data. The topological notion of robustness h…

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…