TrustAGI-Lab/Awesome-Graph-Neural-Networks resource

Health v2 · maintenance only

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Adoption not part of the score

2310 stars · 377 forks observed · 2026-08-28

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

A curated awesome-list of research papers and resources on Graph Neural Networks, organized by model family (recurrent, convolutional, autoencoder, spatial-temporal) and application domain. It is a reading/reference resource, not runnable software.

Use cases

• find papers on graph neural networks
• learn about graph convolutional networks
• survey of graph attention networks
• reading list for graph autoencoders
• find GNN applications in chemistry or healthcare
• get started with graph neural network research

When to choose

• you want a curated, categorized bibliography of GNN research
• you are surveying GNN methods and applications before implementing one

When to avoid

• you need a runnable GNN library or framework
• you need tutorials with code rather than paper links

Facets

learning-resource · maturity maintenance

deep-learning machine-learning deep-learning machine-learning tutorials awesome-lists cross-platform graph-neural-networks paper-list awesome-list graph-attention graph-autoencoder research-papers

Member repositories

For agents

markdown · JSON · MCP: product_card(name="TrustAGI-Lab/Awesome-Graph-Neural-Networks")