thunlp/GNNPapers resource
Must-read papers on graph neural networks (GNN) observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2810
- days_rel: n/a
- days_push: 987
- n_releases_24m: 0
Adoption not part of the score
16829 stars · 3008 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A curated reading list of must-read papers on graph neural networks (GNN), organized into surveys, models, and application areas. It is maintained by researchers from Tsinghua University's THUNLP group.
Use cases
- find must-read papers on graph neural networks
- get started learning GNNs
- find GNN survey papers
- discover GNN applications in chemistry, recommendation, and NLP
- build a reading plan for graph deep learning research
- find papers on graph pooling and explainability
When to choose
- you want a curated, categorized bibliography of GNN literature
- you are a student or researcher entering the graph neural network field
- you need pointers to surveys and foundational GNN models
When to avoid
- you need GNN code or a software library rather than papers
- you need up-to-date coverage of the newest GNN research, as updates have slowed
- you want tutorials with hands-on exercises instead of a paper list
Facets
learning-resource · maturity maintenance
documentation machine-learning deep-learning tutorials awesome-lists cross-platform graph-neural-networks gnn paper-list reading-list research
1 source
- readme: https://github.com/thunlp/GNNPapers · fetched 2026-08-28 · dbbc47d441d1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thunlp/GNNPapers | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="thunlp/GNNPapers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem