Supplementary information to "A graph-based generative artificial intelligence methodology for autocorrection of utility-system P&IDs"
Schulze Balhorn, Lukas; Goldstein, Dominik P.; Seijsener, Niels; Dao, Kevin; Driessen, Ge H. M.; Schweidtmann, Artur M.;
Supplementary information to "A graph-based generative artificial intelligence methodology for autocorrection of utility-system P&IDs"
Results of the hyperparameter optimization of the Graph-to-SFILES model for P&ID autocorrection. Grid search performed on the following hyperparameters: learning rate, encoder layers, and decoder layers.
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selected citations
Citations provided by BIP!
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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