https://www.red-gate.com/simple-talk/business-intelligence/data-science/data-science-laboratory-system-graph-databases/
Graph database are an intriguing alternative to the relational model. They apply graph theory to record the relationships between entries more naturally, and...
data sciencegraph databasessimple talklaboratorysystem
https://towardsdatascience.com/how-to-build-a-recommendation-engine-using-edg-and-neo4j/
Nov 21, 2025 - Use a shared taxonomy to connect RDF and property graphs—and power smarter recommendations with inferencing
recommendation enginebuildgraphbasedusing
https://www.neo4j.com/docs/graph-data-science/current/model-catalog/
This section details the model catalog operations available to manage named trained models within the Neo4j Graph Data Science library.
graph data sciencemodel catalog
https://www.neo4j.com/docs/graph-data-science/current/installation/installation-docker/
Neo4j on Docker - Neo4j Graph Data Science
graph data sciencedocker
https://www.neo4j.com/docs/graph-data-science/current/production-deployment/neo4j-cluster/
This section describes how the Neo4j Graph Data Science library can be used in a Neo4j cluster deployment.
graph data sciencegdscluster
https://neo4j.com/news/graph-data-science-is-moving-one-step-closer-to-the-mainstream-neo4j-releases-v2-0-of-its-eponymous-product/
George Anadiotis caught up with Neo4j's Alicia Frame to discuss graph data science the concept, and Graph Data Science the product.
graph data scienceone step closermoving
https://www.neo4j.com/docs/graph-data-science/current/algorithms/topological-link-prediction/adamic-adar/
This section describes the Adamic Adar algorithm in the Neo4j Graph Data Science library.
graph data scienceadamicadar
https://www.neo4j.com/docs/graph-data-science/current/migration-alpha-cp-to-cpv2/
If you have been using `gds.alpha.graph.project` Cypher aggregation, you can find the info you will need to migrate to using the new Cypher projection.
migrationalphacypheraggregationnew
https://towardsdatascience.com/how-to-implement-graph-rag-using-knowledge-graphs-and-vector-databases-60bb69a22759/
Mar 6, 2025 - The accompanying code for this tutorial is here. My last blog post was about how to implement knowledge graphs (KGs) and Large Language Models (LLMs) together...
graph ragknowledge graphsimplementusingvector
https://www.neo4j.com/docs/graph-data-science/current/management-ops/graph-update/mutate-scale-properties/
This section describes the scaling node-properties to a projected graph.
graph data sciencenode propertiesscaling
https://www.neo4j.com/docs/graph-data-science/current/operations-reference/additional-operation-references/
Additional Operations - Neo4j Graph Data Science
graph data scienceadditionaloperations
https://www.neo4j.com/docs/graph-data-science/current/production-deployment/configuration-settings/
This section describes the available configuration settings in the Neo4j Graph Data Science library.
graph data sciencegdsconfigurationsettings
https://neo4j.com/blog/graph-data-science/graph-data-science-5-minute-interview-alicia-frame/
Check out this week's 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.
graph data sciencepowerminuteinterview
https://towardsdatascience.com/no-peeking-ahead-time-aware-graph-fraud-detection/
Sep 14, 2025 - How to implement leak-free graph fraud detection
fraud detectionpeekingaheadtimeaware
https://neo4j.com/use-cases/graph-data-science-artificial-intelligence/?ref=pr-https://neo4j.com/use-cases/graph-data-science-artificial-intelligence?ref=pr-
Discover how businesses use Neo4j to improve predictions and reveal relationships with graphs for machine learning, artificial intelligence, and analytics.
ai analyticsuse casesdata sciencegraphml
https://towardsdatascience.com/how-to-build-a-graph-rag-app-b323fc33ba06/
Mar 6, 2025 - The accompanying code for the app and notebook are here. Knowledge graphs (KGs) and Large Language Models (LLMs) are a match made in heaven. My previous posts...
towards data sciencegraph ragbuildapp
https://www.neo4j.com/docs/graph-data-science/current/management-ops/graph-drop/
This section details how to drop graphs stored in the graph catalog of the Neo4j Graph Data Science library.
graph data sciencedroppinggraphs
https://neo4j.com/docs/graph-data-science/current/algorithms/min-cost-max-flow/
This section describes the Minimum cost maximum flow algorithm in the Neo4j Graph Data Science library.
graph data sciencemaximum flowminimumcost
https://neo4j.com/docs/graph-data-science/current/algorithms/linkprediction/
This chapter provides explanations and examples for each of the link prediction algorithms in the Neo4j Graph Data Science library.
graph data sciencetopologicalprediction