A small-data study reports that simple CNN and GNN regressors can predict essential oil plant tissue categories from chemical composition, with acknowledged overfitting and moderate AUC for GAT-based models.
Superscent—a database of flavors and scents
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
A simple DNN regression for the chemical composition in essential oil
A small-data study reports that simple CNN and GNN regressors can predict essential oil plant tissue categories from chemical composition, with acknowledged overfitting and moderate AUC for GAT-based models.