Before revision:   The use of graph neural networks maximizes the information in input at each generative step, which consists of the subgraph produced during the previous steps.
After revision:  Sequentiality and modularity make the generation process interpretable. The use of graph neural networks maximizes the information in input at each generative step, which consists of the subgraph produced during the previous steps.