mlsanityData to 14 Oct 2026

GSF-chi: Global Stereochemical Fields for Chiral Graph Transformers

arXiv 2609.12532 ↗First posted 11 Sep 2026cs.LGcited by 0

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Abstract (arXiv)

Enantiomers share atoms, bonds, and pairwise distances yet can behave differently in chiral environments, so molecular encoders must respect atom relabelings and proper rotations without becoming blind to reflection. We introduce GSF-chi, a graph transformer in which stereogenic units modulate all pairwise interactions rather than single out one atom as special. Each central or axial stereogenic unit creates a reflection-even phase field over all atoms, a handedness pseudoscalar chi sets the direction of a relative rotation on latent query--key blocks, giving a Chiral-RoPE that reflection inverts rather than leaves fixed. A C2 projection separates mirror-even ECD peak counts and positions from mirror-odd peak signs. We prove the operator's even--odd decomposition and its annotation-inversion, permutation, and unit-order identities under explicit canonical-role conditions; property tests and a coordinate-reflection audit verify the laws end to end. GSF-chi leads every central-ECD output and improves axial Rotation and Symbol by 12.6% and 7.9% over the strongest baseline. Equal-budget controls attribute the Rotation advantage to global signed support rather than parameter or edge count; the C2 projection yields exact enantiomer-pair consistency at a small raw-accuracy cost under complete supervision and becomes predictive when mirror supervision is scarce.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 26 references that are in the map. First posted on arXiv 11 Sep 2026.

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13 of 26 references.

References · 13

  1. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
  2. 2017Neural Message Passing for Quantum Chemistrycited by 3,487
  3. 2020Directional Message Passing for Molecular Graphscited by 561
  4. 2020Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Moleculescited by 255
  5. 2021Spherical Message Passing for 3D Graph Networkscited by 168
  6. 2021Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotationscited by 29
  7. 2024LieRE: Lie Rotational Positional Encodingscited by 18
  8. 2020Message Passing Networks for Molecules with Tetrahedral Chiralitycited by 14
  9. 2023Algebraic Positional Encodingscited by 10
  10. 2023Difficulty in chirality recognition for Transformer architectures learning chemical structures from stringcited by 7
  11. 2023ChiENN: Embracing Molecular Chirality with Graph Neural Networkscited by 6
  12. 2024E(3)-equivariant models cannot learn chirality: Field-based molecular generationcited by 6
1 more
  1. 2026Learning Molecular Chirality via Chiral Determinant Kernelscited by 2

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