#GraphGist Revue: Mapping the Results of Women’s Alpine Ski Races

What exactly are GraphGists? Spawned from the intrepid minds of Neo4j nodes everywhere, GraphGists are teaching tools for developers and showcase “Use case and industry specific graph examples designed to inspire you towards your Graph epiphany.”

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Graph Data Science Use Cases: Entity Resolution

Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.

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Telstra’s Graphie Award for Excellence in Data Discovery: Why Neo4j?

I was recently working on a project that was looking to understand our data landscape, and I recognized that it would be beneficial to model the data relationships using a graph database. This blog is about my personal experience developing my first Neo4j graph database.

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GeneWeaver: Building a Graph to Map Variants to Genes Using Neo4j 4.x and Bulk Import

Discover how Jackson Laboratory built a graph database to map variants to genes using Neo4j 4.x and the bulk import feature.

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Embracing Open Data: The 5-Minute Interview with Nur Aini Rakhmawati

Read this week’s 5-minute interview to learn how associate professor Nur Aini Rakhmawait incorporates Neo4j’s graph technology in her work.

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This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning

Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Ümit Kaan Usta has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit.… Read more →

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Advantages of Neo4j AuraDB Enterprise: Reliable and Productive

Read this fourth blog post of the series to discover why Neo4j’s AuraDB Enterprise is considered reliable and productive by its customers.

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Announcing the Neo4j GraphQL Library: Build Low-Code GraphQL APIs Faster

Discover what the official release of the Neo4j GraphQL Library has to offer and learn how to get started with the library.

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#GraphCast: Current Leverages Neo4j for a Modern Banking Approach

Catch this week’s #GraphCast on how Current leverages Neo4j and Cypher to create a modern, innovative banking approach.

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Graphs in China: 5-Minute Interview with Richard Wu & George Zhang

Read this interesting interview with the co-founders of Beijing We-Yun on how they use Neo4j’s graph technology to help their business.

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Dimensions in the Data: 5-Minute Interview with Benjamin Squire

Check out the latest 5-minute interview, where Ben Squire explains how Meredith Corporation uses graph databases.

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Discover the Soul of a Product Using Neo4j and React

See how the engineering team at Under Armour created an X-Ray Graph with Neo4j to enable employees to better understand the product journey.

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Introducing Neo4j AuraDB Enterprise [GA Release]

Read the blog to learn about the newly available Neo4j AuraDB Enterprise, the fully managed cloud database service for large organizations.

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Neo4j Data Integration Pipeline Using Snakemake and Docker

Learn how to easily integrate datasets from various sources using this simple, open Neo4j data integration pipeline with Snakemake and Docker.

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Your Roadmap for an Enterprise Graph Strategy

Michael Moore from EY discusses how to start the graph conversation at your company and set a successful enterprise graph strategy.

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20 NODES 2020 Talks You May Have Missed

Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.

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Best Practices to Make (Very) Large Updates in Neo4j

Editor’s Note: This presentation was given by Fanghua Joshua Yu at NODES 2019. Presentation Summary Fanghua Joshua Yu. I’m a Neo4j Pre-Sales & Field Engineering Lead in the APAC region. Today’s session theme is based on a question. The question… Read more →

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Graph Algorithms for Community Detection & Recommendations

Learn about graph algorithms for community detection and recommendations and further understand how to actually employ these algorithms in Neo4j.

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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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How the GRANDstack Makes Handling Complex Data Easy

Editor’s Note: This presentation was given by Michael Porter at NODES 2019 in October 2019. Presentation Summary GRANDstack is a full-stack framework for building applications with GraphQL, React, Apollo and the Neo4j Database. In this talk, Michael Porter, Founder of… Read more →

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Simplifying Data Visualization: 5-Minute Interview with Varun Bhandary

Check out this week’s 5-Minute Interview with Varun Bhandary, solutions architect at Cognizant, about his experience with Neo4j’s graph database.

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Graph Data Platforms: From a Napkin Sketch to a Category Leader

Learn about Neo4j’s evolution to being named a leading Graph Data Platform by Forrester Research in their recent report.

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New Certification Exam Available: Neo4j 4.0 Certification

Learn how to become a certified Neo4j professional by taking this GraphAcademy certification exam on Neo4j 4.0.

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Visualizing Fraud with Neo4j and GRANDstack

Learn how Neo4j and the other premium tools in GRANDstack build a graph and timeline visualization app that drives fraud investigations.

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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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