Skip to content

Latest commit

 

History

History
13 lines (9 loc) · 672 Bytes

README.md

File metadata and controls

13 lines (9 loc) · 672 Bytes

Simple implementation of Equivariant GNN

Open In Colab

  • A short implementation of E(n) Equivariant Graph Neural Networks for HOMO energy prediction.
  • Just 50 lines of code;
  • The implementation is based on pure PyTorch & Numpy, it has no external packages (like PyTorch-geometric).
  • Closely matches the Mean Absolute Error reported in the paper.