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thunlp/GNNPapers resource

Must-read papers on graph neural networks (GNN) observed · 2026-08-28

github.com/thunlp/GNNPapers 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
thunlp/GNNPapersmain32

For agents

markdown · JSON · MCP: product_card(name="thunlp/GNNPapers")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem