SKILL·3B526D

torch-geometric

K-Dense-AI
Updated 1 month ago
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About

This skill provides guidance for building Graph Neural Networks using PyTorch Geometric (PyG). Use it for tasks involving GNNs, graph data structures, message passing networks, or when you see imports from torch_geometric. It covers implementations like GCN and GAT, plus features for scalable training and heterogeneous graphs.

Quick Install

Claude Code

Recommended
Primary
npx skills add K-Dense-AI/claude-scientific-skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/K-Dense-AI/claude-scientific-skills
Git CloneAlternative
git clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/torch-geometric

Copy and paste this command in Claude Code to install this skill

GitHub Repository

K-Dense-AI/claude-scientific-skills
Path: scientific-skills/torch-geometric
0
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skills
FAQ

Frequently asked questions

What is the torch-geometric skill?

torch-geometric is a Claude Skill by K-Dense-AI. 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 Meta category, tagged design and data.

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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