A bidirectional discrete flow matching model, SynBridge, predicts reaction products and reactants on graph representations and reports state-of-the-art Top-k accuracy on USPTO-50K, USPTO-MIT, and Pistachio.
In: Advances in Neural Information Processing Systems (NeurIPS), pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
SynBridge: Bridging Reaction States via Discrete Flow for Bidirectional Reaction Prediction
A bidirectional discrete flow matching model, SynBridge, predicts reaction products and reactants on graph representations and reports state-of-the-art Top-k accuracy on USPTO-50K, USPTO-MIT, and Pistachio.