Methods › General › Mesh-Based Simulation Models › MeshGraphNet
MeshGraphNet
Introduced by Tobias Pfaff et al. in Learning Mesh-Based Simulation with Graph Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MeshGraphNet is a framework for learning mesh-based simulations using graph neural networks. The model can be trained to pass messages on a mesh graph and to adapt the mesh discretization during forward simulation. The model uses an Encode-Process-Decode architecture trained with one-step supervision, and can be applied iteratively to generate long trajectories at inference time. The encoder transforms the input mesh Mᵗ into a graph, adding extra world-space edges. The processor performs several rounds of message passing along mesh edges and world edges, updating all node and edge embeddings. The decoder extracts the acceleration for each node, which is used to update the mesh to produce Mᵗ⁺¹.
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows 3 Jan 2025 · 0 repositories · arXiv:2501.01934
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X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation 26 Nov 2024 · 1 repository · arXiv:2411.17164
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Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network 21 Nov 2024 · 0 repositories · arXiv:2411.14192
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Learning CO₂ plume migration in faulted reservoirs with Graph Neural Networks 16 Jun 2023 · 0 repositories · arXiv:2306.09648
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Learning Mesh-Based Simulation with Graph Networks 7 Oct 2020 · 11 repositories · arXiv:2010.03409Syntology ran 4 of 4 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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