·torch-geometric
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torch-geometric

jackspace/claudeskillz

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

12Installs·0Trend·@jackspace

Installation

$npx skills add https://github.com/jackspace/claudeskillz --skill torch-geometric

SKILL.md

PyTorch Geometric is a library built on PyTorch for developing and training Graph Neural Networks (GNNs). Apply this skill for deep learning on graphs and irregular structures, including mini-batch processing, multi-GPU training, and geometric deep learning applications.

PyG represents graphs using the torchgeometric.data.Data class with these key attributes:

Important: These attributes are not mandatory—extend Data objects with custom attributes as needed.

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning. Source: jackspace/claudeskillz.

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Install command
npx skills add https://github.com/jackspace/claudeskillz --skill torch-geometric
Category
</>Dev Tools
Verified
First Seen
2026-02-17
Updated
2026-02-18

Quick answers

What is torch-geometric?

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning. Source: jackspace/claudeskillz.

How do I install torch-geometric?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jackspace/claudeskillz --skill torch-geometric Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/jackspace/claudeskillz