torch-geometric
Provides a comprehensive guide for using PyTorch Geometric for graph neural network tasks. Covers installation, data structures, model building, training workflows, and includes benchmark scripts for comparing GNN architectures on standard datasets.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-torch-geometric
Repository
Skill path: skills_all/claude-scientific-skills/scientific-skills/torch_geometric
Provides a comprehensive guide for using PyTorch Geometric for graph neural network tasks. Covers installation, data structures, model building, training workflows, and includes benchmark scripts for comparing GNN architectures on standard datasets.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install torch-geometric into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding torch-geometric to shared team environments
- Use torch-geometric for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.