models_architectures
TorchDrug provides a comprehensive collection of pre-built model architectures for various graph-based learning tasks. This reference catalogs all available models with their characteristics, use cases, and implementation details.
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- Scientific
- 1
What it does and how to use it
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Install (Claude Code)
mkdir -p .claude/skills/models-architectures && curl -fsSL https://doutorai.pt/data/lib/skills__models-architectures.md -o .claude/skills/models-architectures/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Models and Architectures
## Overview
TorchDrug provides a comprehensive collection of pre-built model architectures for various graph-based learning tasks. This reference catalogs all available models with their characteristics, use cases, and implementation details.
## Graph Neural Networks
### GCN (Graph Convolutional Network)
**Type:** Spatial message passing
**Paper:** Semi-Supervised Classification with Graph Convolutional Networks (Kipf & Welling, 2017)
**Characteristics:**
- Simple and efficient aggregation
- Normalized adjacency matrix convolution
- Works well for homophilic gr
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