sk Skill · dralkh
torch-geometric
PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.
Open on skills.sh ↗read 2026-09-17
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pythonbashTypeScript
- Host repository
- dralkh/iktinah
- Version
- 1.1
- Compatible with
- Requires Python 3.10+, PyTorch 2.6+, and torch-geometric 2.7.x. Optional extension wheels (pyg-lib, torch-scatter, torch-sparse, torch-cluster) must match your PyTorch/CUDA build from https://data.pyg.org/whl.
- Licence
- MIT license
- Host stars
- 78
- Host language
- TypeScript