torch-geometric
New8.2kSmitheryGeneralby K-Dense-AI
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Install & Usage
1
Create the skills directory
mkdir -p .claude/skills2
Download the skill file
mkdir -p .claude/skills && curl -o .claude/skills/torch-geometric.md https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/torch_geometric/SKILL.md3
Invoke in Claude Code
/torch-geometricView source on GitHub
ai-&-mldata-&-analytics
Frequently Asked Questions
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.
How to install torch-geometric?
To install torch-geometric, create the .claude/skills directory in your project, then run the curl command to download the skill file. Once installed, invoke it in Claude Code with /torch-geometric.
What is torch-geometric best for?
torch-geometric is a community categorized under General. It is designed for: ai-&-ml, data-&-analytics. Created by K-Dense-AI.