benedekrozemberczki/awesome-fraud-detection-papers resource
A curated list of data mining papers about fraud detection. observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 60
- Release rhythm 32
- Longevity 100
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: 2655
- days_rel: 240
- days_push: 240
- n_releases_24m: 1
Adoption not part of the score
1827 stars · 329 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 research papers on fraud detection, spanning data mining, graph learning, and machine learning venues like KDD, AAAI, and WWW. It organizes papers by year and conference with links to publications.
Use cases
- find research papers on fraud detection
- survey graph-based fraud detection methods
- learn about credit card fraud detection models
- keep up with latest fraud detection research
- find papers on anomaly detection in transactions
- research fraud detection for a fintech project
When to choose
- you need a curated reading list of fraud detection literature
- you are a researcher or student surveying the field
- you want paper links organized by venue and year
When to avoid
- you need production-ready fraud detection software
- you want runnable code rather than papers
- you need tutorials or beginner learning material
Facets
learning-resource · maturity active
machine-learning data-science nlp machine-learning data-science fintech awesome-lists cross-platform awesome-list fraud-detection research-papers curated-list graph-neural-networks anomaly-detection credit-card-fraud
1 source
- readme: https://github.com/benedekrozemberczki/awesome-fraud-detection-papers · fetched 2026-08-28 · 6680d1438c62
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| benedekrozemberczki/awesome-fraud-detection-papers | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="benedekrozemberczki/awesome-fraud-detection-papers")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem