This repository contains example code and demos aligning to the Neo4j Graph Data Science for Supply Chains blog series. Each subdirectory corresponds to a part in the blog series:
- part1 - Getting Started with Neo4j GDS and Bloom
- part2 - Creating Informative Metrics and Analyzing Supply Chain Performance
- part3 - Finding Shortest Paths, Supporting Optimization and Recommendation, and What-If Scenarios
The above parts include directions for transforming and loading data into Neo4j. If you would rather skip those steps and jump right into analysis, the ./data folder includes a pre-made copy of the Neo4j database (a.k.a. "dump file") that can be easily loaded via neo4j-admin load. The ./data folder also includes a Bloom Perspective to match the data.