A hypergraph neural network with reaction-center-aware negative sampling achieves higher F1 scores than GCN/GAT/HGNN baselines for reaction virtual screening on USPTO subsets.
Prediction of organic reaction outcomes using machine learning
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ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
A hypergraph neural network with reaction-center-aware negative sampling achieves higher F1 scores than GCN/GAT/HGNN baselines for reaction virtual screening on USPTO subsets.