Simple Equivariant Gnn Save
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
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Simple implementation of Equivariant GNN
- 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.
Open Source Agenda is not affiliated with "Simple Equivariant Gnn" Project. README Source: senya-ashukha/simple-equivariant-gnn
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