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pytorch-geometric

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Graph Neural Networks made easy.

Software Engineering#data science#deep learning#pytorch#graph neural networks#message passing#gnn
Authorcuba6112
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the implementation and use of Graph Neural Networks (GNNs) for tasks involving graph-structured data.

Core Features & Use Cases

  • GNN Layer Development: Provides a base class (MessagePassing) for creating custom GNN layers.
  • Efficient Batching: Handles mini-batching of large graphs using a disjoint graph representation.
  • Use Case: Analyze social networks, predict molecular properties, or classify nodes in a recommendation system using GNNs.

Quick Start

Use the pytorch-geometric skill to define a custom GNN layer and process graph data.

Dependency Matrix

Required Modules

torchtorch-geometrictorch-scattertorch-sparse

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pytorch-geometric
Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#pytorch-geometric

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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