GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations.
Neng ShiJiayi XuSkylar W. WursterHanqi GuoJonathan WoodringLuke P. Van RoekelHan-Wei ShenPublished in: IEEE Trans. Vis. Comput. Graph. (2022)
Keyphrases
- space exploration
- neural network
- structured data
- artificial neural networks
- adaptive neural
- graph representation
- random walk
- neural network model
- bipartite graph
- adaptive kalman filter
- mesh refinement
- neural network is trained
- neural fuzzy
- graph theory
- semi structured
- graph structure
- multi layer
- graph model
- obstacle avoidance
- graph matching
- directed graph
- directed acyclic graph
- d mesh
- hierarchical structure
- back propagation
- video sequences
- knowledge base
- computer vision
- genetic algorithm