SantanderAI / gen-fraud-graph
Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.
Why this job: matched by what the repo talks about: benchmark, model, bas, detection
What it does
- Massive scale. Generate from 1K to 100M+ accounts with configurable scale factor
- Fraud pattern injection. Cyclic money-laundering rings with configurable depth (4–7 hops)
- Parallel generation. Multi-process workers for fast generation on high-core machines
- Vector embeddings. Three providers: fake (random, fast), local (SentenceTransformers), openai (API)
- Multiple formats. Generic CSV or AWS Neptune bulk-load format
Get started
uv pip install -e '.[local]'
# SentenceTransformers (local model)
uv pip install -e '.[openai]'
# OpenAI API embeddings
uv pip install -e '.[all]'
# Everything including dev toolsYou need: Python >= 3.10; NumPy >= 1.24; Pandas >= 2.0
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 295
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 4 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 80% closed
- 1 still open
- Pull requests
- 10 merged
- 1 waiting
- Releases
- 1
- 1 in the last year
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| jube-home / aml-fraud-transaction-monitoring | 116 | 18 days ago | AGPL-3.0 | No downloads |
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- aml
- anti-money-laundering
- apache-2-0
- benchmark
- financial-services
- fraud-detection
- graph-ml
- graph-neural-networks
- machine-learning
- open-source
- python
- responsible-ai
Project record
- JobEvals and observability
- StatusListed
- Commits17
- Forks82
- Watching2
- Stars in 28 days+5
- CreatedMay 25, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026