torch-geometric

Maintained by k-dense-ai

PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.

Current version: Unknown
License: MIT license
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate torch-geometric for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider torch-geometric when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

torch-geometric is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models. When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add k-dense-ai/scientific-agent-skills --skill torch-geometric -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.