Build graph neural networks with practical PyG recipes.
Guides the implementation of graph neural networks for classification, link prediction, heterogeneous graphs, and custom datasets.
When to use it
Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.
It changes how the agent implements graph neural network models in the project using PyG layers and adaptation recipes.
What you provide
Requires Python 3.10 or later.
Requires PyTorch 2.9 or later.
This skill
arXiv
Reads arXiv citation metadata
torch
Installs PyTorch