Graph neural networks to learn joint representations of disjoint molecular graphs

Chen Shao, Zhou Chen, Pascal Friederich

Graph neural networks are widely used to learn global representations of graphs, which are then used for regression or classification tasks. Typically, the graphs in such data sets…