pytorch-geometric
About
PyTorch Geometric (PyG) is a library for implementing Graph Neural Networks (GNNs) on data structured as graphs, like social networks or molecules. It provides essential tools like the `MessagePassing` base class for custom layers and handles mini-batching of disjoint graphs efficiently. Use it for tasks such as node classification, link prediction, or graph-level regression.
Quick Install
Claude Code
Recommendednpx skills add cuba6112/skillfactory -a claude-code/plugin add https://github.com/cuba6112/skillfactorygit clone https://github.com/cuba6112/skillfactory.git ~/.claude/skills/pytorch-geometricCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the pytorch-geometric skill?
pytorch-geometric is a Claude Skill by cuba6112. Skills package instructions and resources that Claude loads on demand, so Claude can perform pytorch-geometric-related tasks without extra prompting.
How do I install pytorch-geometric?
Use the install commands on this page: add pytorch-geometric to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does pytorch-geometric belong to?
pytorch-geometric is in the Communication category, tagged powerpoint.
Is pytorch-geometric free to use?
Yes. pytorch-geometric is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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