RT Prediction C18 Negative Mode

GNN

Graph-Convolutional Neural Net - UFZ Method

Graph-convolutional neural net to predict retentioin times C18 RP-LC UFZ inhouse negative mode

graph convolutional neural net to predict retention times on a C18 column in negative mode, retention times are given in min, UFZ inhouse model, 2 hidden layers (16, 32 neurons)

UFZ inhouse dataset

282 datapoints

Data augmentation strategy applied to increase the number of input features.