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Graph neural networks with PyTorch Geometric v1.0.0

Use this resource to build and train graph neural networks with PyG

New

  • 309 downloads
  • 106 likes
  • 207 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install graph-neural-networks-pyg

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent prepares graph data, picks the message-passing layer and writes training for the target task. You get PyG code and the version checks to run before using a recent API.

Mostly picked by

Updated November 2, 2026

Card for the “Graph neural networks with PyTorch Geometric” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, core concepts, data and built-in datasets
  • references/: custom datasets, explainability, heterogeneous graphs, link prediction, message passing and scaling

Good fit for

  • You classify nodes in a social or citation network
  • You predict links between molecules or products

Not for

    Tags

    • GNN
    • graphs
    • PyG

    About

    You say

    “Train a GCN to classify the nodes of the Cora dataset.”

    Card for the “Graph neural networks with PyTorch Geometric” skill

    Skill published by k-dense-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build and train graph neural networks with PyG
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/custom_datasets.md10.7 KB
    • references/explainability.md8.8 KB
    • references/heterogeneous.md9.4 KB
    • references/link_prediction.md10.8 KB
    • references/message_passing.md5.1 KB
    • references/review.md7 KB
    • references/scaling.md11.3 KB
    • SKILL.md22.4 KB

    Origin and licence

    Listed unmodified

    Author
    k-dense-ai
    Source
    github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/torch-geometric
    Licence
    MIT

    Notice

    « torch-geometric » (k-dense-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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