A GNN-based molecular inference framework simulates the trained GNN inside a MILP, enabling exact search for valid chemical graphs with desired predicted properties.
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Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model
A GNN-based molecular inference framework simulates the trained GNN inside a MILP, enabling exact search for valid chemical graphs with desired predicted properties.