MD-GNN: A mechanism-data-driven graph neural network for molecular properties prediction and new material discovery.

Molecular properties prediction and new material discovery are significant for the pharmaceutical industry, food, chemistry, and other fields. The popular methods are theoretical mechanism calculation and machine learning. There is a deviation between the theoretical mechanism calculation results and the experimental data.