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: ovachiever/droid-tings.
·torch-geometric
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torch-geometric
✓Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Installation
How to Install torch-geometric
Quickly install torch-geometric AI skill to your development environment via command line
- Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
- Run Installation Command: Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill torch-geometric
- Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Source: ovachiever/droid-tings.
SKILL.md
View rawPyTorch 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: ovachiever/droid-tings.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ovachiever/droid-tings --skill torch-geometric- Source
- ovachiever/droid-tings
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-03-03
- Updated
- 2026-03-11
Quick answers
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/ovachiever/droid-tings --skill torch-geometric Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Where is the source repository?
https://github.com/ovachiever/droid-tings
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-03-03