About
This skill enables graph neural network development using PyTorch Geometric for tasks like node classification, link prediction, and molecular property prediction. It supports GCN, GAT, and GraphSAGE architectures and handles heterogeneous graphs with mini-batch and multi-GPU training. Use it for deep learning on graph-structured data in domains like social networks, citation analysis, and 3D geometric data.
Quick Install
Claude Code
Recommendednpx skills add overtimepog/AgentTheo -a claude-code/plugin add https://github.com/overtimepog/AgentTheogit clone https://github.com/overtimepog/AgentTheo.git ~/.claude/skills/torch-geometricCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the torch-geometric skill?
torch-geometric is a Claude Skill by overtimepog. Skills package instructions and resources that Claude loads on demand, so Claude can perform torch-geometric-related tasks without extra prompting.
How do I install torch-geometric?
Use the install commands on this page: add torch-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 torch-geometric belong to?
torch-geometric is in the Other category, tagged general.
Is torch-geometric free to use?
Yes. torch-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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