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Open access
May 2025
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.
Xiaobao Huang, Yi-Hong Ma, Anjali Gurajapu et al.
· Proceedings of the 32nd ACM... · 1 citation