# Neo4j Graph Data Science (GDS) Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/neo4j-graph-data-science-gds
> Markdown URL: https://aitinkerers.org/technologies/neo4j-graph-data-science-gds.md
> Technology record last updated: 2026-03-26T16:04:17Z
> Generated: 2026-09-20T15:44:03Z

A high-performance analytics workspace for executing 65+ graph algorithms and machine learning models directly on connected data.

Neo4j GDS transforms raw relationships into predictive insights by running optimized engines (Pregel, Java) over an in-memory graph projection. Data scientists use it to identify hidden clusters via Leiden or Louvain, calculate influence through PageRank, and generate node embeddings for downstream ML pipelines. The library integrates seamlessly with Python via the official GDS client, allowing teams to move from exploratory data analysis to production-grade link prediction or fraud detection without manual feature engineering.

- Official technology site: https://neo4j.com/product/graph-data-science/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Graph-Enhanced XGBoost: Beating Fraud Detection Baselines with Neo4j](https://saopaulo.aitinkerers.org/talks/rsvp_jIeBaJ1l7t8)

A graph-based financial fraud detection system built on Neo4j, using the IEEE-CIS dataset to model transactions, cards, devices, emails, and addresses as a connected network — and combining graph features with XGBoost to significantly outperform traditional tabular models.

- Event context: AI Tinkerers SP e Banco BMG — 2026-03-26 — São Paulo
- Public talk page: https://saopaulo.aitinkerers.org/talks/rsvp_jIeBaJ1l7t8

## Related Technologies

- [Cypher](https://aitinkerers.org/technologies/cypher) ([Markdown](https://aitinkerers.org/technologies/cypher.md)) — 3 public demos
- [Neo4j](https://aitinkerers.org/technologies/neo4j) ([Markdown](https://aitinkerers.org/technologies/neo4j.md)) — 29 public demos
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
- [XGBoost](https://aitinkerers.org/technologies/xgboost) ([Markdown](https://aitinkerers.org/technologies/xgboost.md)) — 4 public demos