Before revision:  Since both atoms and chemical bonds play important roles in chemical reactions and reflect the property of molecules, existing methods fail to exploit both node (atom) and edge (bond) features simultaneouslyto make property prediction. In this paper, we propose Dual Message Passing Neural Network ( DualMPNN ), a multi-view message passing architecture with a two-tier constraint, to make more accurate molecular property prediction.
After revision:  Since both atoms and chemical bonds play important roles in chemical reactions and reflect the property of molecules, existing methods fail to exploit both node (atom) and edge (bond) information simultaneously. Guided by this observation, we present Multi-View Graph Neural Network ( DualMPNN ), a multi-view message passing architecture with a two-tier constraint, to make more accurate molecular property prediction.