Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling

Research article (Computer-Aided Civil and Infrastructure Engineering, 2024) · cited 29× · AI/ML
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Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling

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Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/multifidelity-graph-neural-networks-for-efficient-and-accurate-meshbased-partial-differential-equations-surrogate-modeli
MLA “Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multifidelity-graph-neural-networks-for-efficient-and-accurate-meshbased-partial-differential-equations-surrogate-modeli.
BibTeX @misc{4ortxyz_multifidelity-graph-neural-networks-for-efficient-and-accurate-meshbased-partial-differential-equations-surrogate-modeli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multifidelity graph neural networks for efficient and accurate mesh‐based partial differential equations surrogate modeling}}, year = {2026}, url = {https://4ort.xyz/entity/multifidelity-graph-neural-networks-for-efficient-and-accurate-meshbased-partial-differential-equations-surrogate-modeli}, note = {Accessed: 2026-05-24}}
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