BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction

Research article (Journal of Computational Design and Engineering, 2024) · cited 12× · AI/ML
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BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction

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BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/bmo-gnn-bayesian-mesh-optimization-for-graph-neural-networks-to-enhance-engineering-performance-prediction
MLA “BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bmo-gnn-bayesian-mesh-optimization-for-graph-neural-networks-to-enhance-engineering-performance-prediction.
BibTeX @misc{4ortxyz_bmo-gnn-bayesian-mesh-optimization-for-graph-neural-networks-to-enhance-engineering-performance-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction}}, year = {2026}, url = {https://4ort.xyz/entity/bmo-gnn-bayesian-mesh-optimization-for-graph-neural-networks-to-enhance-engineering-performance-prediction}, note = {Accessed: 2026-05-24}}
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