Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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This Week in Neo4j – Identifying Graph Shaped Problems, New Neo4j Online Training Courses, Small-world phenomena

Hi graph gang, In this week’s video, Lju Lazarevic teaches us how to find graph based problems. Helena Deus explains how to navigate the virus regulation pathway for COVID-19, Anders Brams builds a movie recommendation engine, and Nathan Smith explores… Read more →

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Announcing New Neo4j Online Training Courses!

Discover the three new online training courses added to Neo4j’s GraphAcademy, complete with a brief video tutorial to help guide you through the process.

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Creative Use of Network Science with Graph Commons

Explore use cases that go beyond the more common graph use cases by walking through graph examples from the Graph Commons community.

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Analytical Subgraph Overlays in Neo4j

Pull the needles out of the haystack by learning how to do specialized analyses on subgraphs as well as customized analyses on one tiny island of data.

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Graph-Powered Recommendations: A Framework for Faster Development

Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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This Week in Neo4j – Data Modeling Best Practices, JHipster and Neo4j, Circular Money Flow, Visualizing a Spring Integration graph

Check out this week in Neo4j, including tips for data modeling best practices, JHipster andn Neo4j, circular money flow and visualizing a Spring Integration graph.

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Unlimited Possibilities: 5-Minute Interview with David Mohr

In this week’s five-minute interview with David Mohr (conducted at GraphTour NYC 2019), we discuss how Neo4j helps new users learn graph technology.

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Graphs in Automotive and Manufacturing: Unlock New Value from Your Data

Explore how companies in the automotive and manufacturing industries use Neo4j for supply chain management, customer 360 and knowledge graphs.

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