geometry-enhanced

SenCos-GEM introduces a physics-guided molecular representation learning framework that uses Squeeze-and-Excitation modules and a law-of-cosines constraint to improve 3D geometric understanding, achieving state-of-the-art results on MoleculeNet regression benchmarks.