ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
This work introduces a reaction center-aware negative sampling strategy (RCNS) and a hierarchical embedding approach combining molecule, reaction and hypergraph level features, establishing ChemHGNN as a superior alternative for reaction virtual screening and discovery.