Please see the folders within here for worked examples for Snowflake. If you would like to write a quickstart for snowflake, please create a new folder with the code for your worked example and README.md file with the content of the quickstart. Upon completion, please contact Corydon Baylor in marketing for review.
Currently, we have a few worked examples to use:
- Predictive Maintenance: This example works through the most commonly used algorithms to handle tasks like community detection, centrality, and similarity
- Modeling Disruptions in NYC Subways: See how a network responds to different disruptions
- Patient Journey: Identify patients who have a similar medical history and sort them into groups
- Insurance Fraud: Use graph embeddings to convert the graph model into vector representations and compare them against previously labeled fraud cases
- Fraud in P2P: Use louvain to identify connected fraud in a peer-to-peer context
- Entity Resolution: Use embeddings + KNN to detect similar entities, map those relationships and finally use louvain to determine if they should belong to the same entity.