HI-MeshGraphNets: Efficient and accurate mesh-based physics learning with hierarchical multi-scale graph neural networks
Read the original at arxiv.org→arXiv:2608.13827v1 Announce Type: new Abstract: Machine-learned physical surrogate models have become promising alternatives to mesh-based numerical solvers. Among them, graph neural networks (GNNs) are well suited...
Original headline: "HI-MeshGraphNets: Efficient and Accurate Mesh-based Physics Learning with Hierarchical Multi-scale Graph Neural Networks"
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- Aug 17, 04:00 UTC arXiv cs.LG lead source HI-MeshGraphNets: Efficient and Accurate Mesh-based Physics Learning with Hierarchical Multi-scale Graph Neural Networks