IGA-Graph-Net: Isogeometric analysis-reuse method based on graph neural networks for topology-consistent models
Copyright policy ) Xu, Gang; Xie, Jin; Zhong, Weizhen; Toyoura, Masahiro; Ling, Ran; Xu, Jinlan; Gu, Renshu; +2 Authors
Xu, Gang; Xie, Jin; Zhong, Weizhen; Toyoura, Masahiro; Ling, Ran; Xu, Jinlan; Gu, Renshu; Wang, Charlie C.L.; Rabczuk, Timon;
IGA-Graph-Net: Isogeometric analysis-reuse method based on graph neural networks for topology-consistent models
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- University of Salford United Kingdom
Isogeometric analysis, Computer-aided design (modeling of curves and surfaces), isogeometric analysis, analysis-reuse, graph neural network, Analysis-reuse, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Graph neural network, CAD/CAE integration
Isogeometric analysis, Computer-aided design (modeling of curves and surfaces), isogeometric analysis, analysis-reuse, graph neural network, Analysis-reuse, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Graph neural network, CAD/CAE integration
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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