SETC-GAT
Gibaldi, Marco; Luo, Jun; White, Andrew; Mayo, R. Alex; Pereira, Cécile; Woo, Tom;
SETC-GAT
Pretrained graph attention (GAT) models for Structure Error Type Classification (SETC) as outlined in the following article: Generalizable classification of crystal structure error types using graph attention networks (https://doi.org/10.1039/D5TA05426E) Further description of the use of these models is provided in the accompanying GitHub repository (https://github.com/uowoolab/SETC-GAT)
- University of Ottawa Canada
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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.
Popularity provided by BIP! 0
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