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safe-graph/graph-fraud-detection-papers resource

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources observed · 2026-08-28

github.com/safe-graph/graph-fraud-detection-papers · homepage observed · 2026-08-28

Health v2 · maintenance only

73/100

  • Activity 90
  • 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 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2477
  • days_rel: n/a
  • days_push: 65
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1889 stars · 298 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 academic papers and resources on graph- and transformer-based fraud, anomaly, and outlier detection, organized by year and topic. It includes an interactive paper dashboard and a companion RAG-based LLM chatbot for querying the collected literature.

Use cases

  • find papers on graph neural network fraud detection
  • survey transformer-based anomaly detection research
  • find datasets for fraud detection research
  • keep up with latest LLM fraud detection papers
  • research resources for building a fraud detection system
  • find outlier detection papers with code

When to choose

  • you need a curated reading list of fraud/anomaly detection literature
  • you want paper links with venues and code in one place
  • you want to explore graph neural network applications in fraud detection

When to avoid

  • you need production-ready fraud detection software
  • you want a runnable library rather than a paper collection

Facets

learning-resource · maturity active

machine-learning nlp search-engine rag machine-learning security data-science awesome-lists tutorials python awesome-list fraud-detection anomaly-detection graph-neural-networks transformers academic-papers survey outlier-detection spam-detection foundation-models web

2 sources

Member repositories

RepositoryRoleHealth v2
safe-graph/graph-fraud-detection-papersmain73

For agents

markdown · JSON · MCP: product_card(name="safe-graph/graph-fraud-detection-papers")

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