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Demo of a supervised machine learning approach for Entity Resolution in graph using Neo4j GDS Link Prediction Pipelines

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Link Prediction Pipeline Demo for Cross-Device Entity Resolution

This repository demonstrates the application of Neo4j Link Prediction Pipelines to a Cross Device Entity Resolution Problem. A full background for this problem and descrition of the workflow can be found in this blog.

The source data and challenge problem for this demo can be found at: https://competitions.codalab.org/competitions/11171. The data is not committed here.

GDS >2.0 (Neo4j ≥4.4) or AuraDS

Follow the code examples located under LATEST

GDS <1.8 (Neo4j <4.4)

Follow the code examples located under 1.x

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Demo of a supervised machine learning approach for Entity Resolution in graph using Neo4j GDS Link Prediction Pipelines

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