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Local Global Graph Transformer

Authors: Patrignani, Luca; Pinho, Silvestre;

Local Global Graph Transformer

Abstract

v1.0.0 – Initial Release First stable release of the Local-Global Graph Transformer, including full model implementation, training scripts, preprocessing, and documentation. Please cite Graph Neural Networks with Hybrid Local-Global Attention for Effective Prediction of Mechanical Response in Structures, Computer Methods Applied Mechanics and Engineering, 2026. @article{patrignani2026hybrid, title={Graph Neural Networks with Hybrid Local-Global Attention for Effective Prediction of Mechanical Response in Structures}, author={Patrignani, Luca and Pinho, Silvestre T.}, journal={Computer Methods in Applied Mechanics and Engineering}, year={2026} }

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selected citations
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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average