Graph convolutional neural networks automatically capture the structural information of drugs and target molecules by updating the feature vectors of adjacent atoms connected by chemical bonds.

The connection was how graph neural networks (GNNs) are used to enhance chemical property prediction and guide antibiotic drug screening, leading to new drugs in vivo.