dair-ai/GNNs-Recipe resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1330 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated study guide (recipe/studysheet) for learning Graph Neural Networks, collecting introductory articles, videos, survey papers, courses, benchmarks, and tools. It is a documentation-style resource rather than executable software.

Use cases

• learn graph neural networks from scratch
• find survey papers on GNNs
• get a curated list of GNN tutorials and videos
• find graph datasets and benchmarks for GNNs
• keep up to date with GNN research and implementations
• prepare for studying ML with graphs

When to choose

• you want a concise, curated starting point for learning GNNs
• you need links to courses, books, and survey papers on graph deep learning
• you are a student looking for a structured self-study path

When to avoid

• you need runnable GNN code or a library - use PyTorch Geometric or DGL instead
• you need an exhaustive or continuously updated reference
• you need production tooling for graph models

Facets

learning-resource · maturity maintenance

machine-learning deep-learning machine-learning deep-learning tutorials cross-platform graph-neural-networks study-guide gnn graph-convolutional-networks curated-links

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markdown · JSON · MCP: product_card(name="dair-ai/GNNs-Recipe")