A Python client for the Neo4j Graph Data Science (GDS) library
A proposed standard `NOCK` for a Parquet format that supports efficient distributed serialization of multiple kinds of graph technologies
Graph based job recommender system with Neo4J
Knowledge graph labs: PostgreSQL-to-Neo4j ETL, Cypher network analytics, Neo4j GDS, Docker Compose
Library to build Neo4j queries with special attention on Graph Data Science library calls.
Instead of using vector similarity search (RAG), the system models academic structure explicitly as a Neo4j knowledge graph and uses LLM-powered agents only for planning, query generation, and explanation -not as the source of truth.
A distributed graph streaming and analytics platform using Kafka, Kafka Connect, and Neo4j GDS
Poperty graphs modelling in neo4j and Python. Team project from UPC's Master's Degree in Data Science
Reoffending-risk prediction with a Neo4j knowledge graph and a Fairlearn audit on the COMPAS dataset. A small auditable architecture demonstration.
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