torch-geometric

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

graph-neural-networkspytorchgeometric-deep-learningnode-classification

ovachiever

81

equivariant-architecture-designer

Use when you have validated symmetry groups and need to design neural network architecture that respects those symmetries. Invoke when user mentions equivariant layers, G-CNN, e3nn, steerable networks, building symmetry into model, or needs architecture recommendations for specific symmetry groups. Provides architecture patterns and implementation guidance.

machine-learningarchitectural-patternsgeometric-deep-learningequivariant-layers

lyndonkl

82

torch-geometric

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

pythonmachine-learningpytorchgraph-neural-networks

K-Dense-AI

3,233360