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.
https://github.com/pyg-team/pytorch_geometric/blob/master/ torch_geometric/nn/conv/gcn_conv.py
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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.