LondonA dual-graph transformer leads all molecular prediction benchmarks.
The model captures atoms, bonds, and stereochemistry simultaneously, outperforming prior architectures that each handled only one encoding type.
Drug-discovery and materials science adoption remains untested outside the benchmark datasets.
Sources: Nature