tsinghua-fib-lab/GNN-Recommender-Systems resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1077 stars · 145 forks observed · 2026-08-28

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

A curated index of research papers and code for Graph Neural Network based recommender systems, accompanying an ACM TORS survey. It organizes algorithms by recommendation stages, scenarios, and objectives.

Use cases

• find papers on GNN-based recommender systems
• survey graph neural networks for recommendation
• find implementations of NGCF or PinSage
• research sequential or social recommendation with GNNs
• get started with graph representation learning for recommendations

When to choose

• you need a literature map of GNN recommendation research
• you want links to papers and code for specific GNN recommenders
• you are writing a survey or literature review on the topic

When to avoid

• you need a ready-to-run recommendation library
• you want production recommender system code
• you need non-GNN recommendation algorithms

Facets

learning-resource · maturity maintenance

machine-learning search-engine developer-tools machine-learning deep-learning data-science tutorials awesome-lists python gnn recommender-systems survey graph-neural-networks paper-index collaborative-filtering

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tsinghua-fib-lab/GNN-Recommender-Systems")