Toward AI Standards: Graph Technology as a Fabric for Context

Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.

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#GraphCast: How Graphs Are Used around the Globe

Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.

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Here’s How the Neo4j Community Celebrated Global Graph Celebration Day!

To honor of the Swiss mathematician and inventor of graph theory, Leonhard Euler, the Neo4j community held events all over the world to gather and celebrate the day of his birth, April 15th. If you didn’t get a chance to… Read more →

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BloodHound: How Graphs Changed the Way Hackers Attack

Read this blog to learn how graphs revolutionized how hackers attack, and how SpecterOps uses Neo4j to access a company’s cybersecurity measures.

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Register Now for Global Graph Celebration Day: 50+ Events Already Scheduled Worldwide!

On Monday, April 15, thousands of graph enthusiasts around the world will come together to celebrate Leonhard Euler’s birthday – the inventor of graph theory. With over 50 events across 5 continents – in places like São Paulo, London, San… Read more →

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Host an Event (Big or Small) with Us for Global Graph Celebration Day

Join us and the global Neo4j community on April 15, 2019 to celebrate the birth of the inventor of graph theory, Leonhard Euler!. Help us lead this day of celebration, collaboration and advocacy around the topic of graph-thinking and those… Read more →

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#GraphCast: Bandersnatch Edition

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, decided to get geeked on graph theory proof of Euler’s formula, which highlights… Read more →

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#GraphCast: Euler’s Formula (a Graph Theory Proof)

Welcome to this week’s #GraphCast – our fortnightly series featuring what you might have missed in AV media within the wider the world of graphs. Last #GraphCast, our Managing Editor, Jocelyn Hoppa, stole the video I was going to pick… Read more →

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Graph Algorithms in Neo4j: The Rise of Graph Analytics

According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →

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5 Noteworthy Use Cases of Graph Technology and Graph Analytics

When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →

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Graph Algorithms in Neo4j: The Power of Graph Analytics

According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →

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Graph Databases for Beginners: Graph Search Algorithm Basics

When he wasn’t busy shelving books, collecting overdue fines and shushing children (we can only presume) in the library at the House of Wisdom, Muhammad ibn Musa al-Khwarizmi was also keeping up a few other side projects: inventing algebra, popularizing… Read more →

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Graph Databases for Beginners: Graph Theory & Predictive Modeling

There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →

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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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Graph Algorithms in Neo4j: How Connections Drive Discoveries

Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →

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This Week in Neo4j – JavaScript CRUD Apps, Personalised Recommendation Engines, Graph Theory Tutorial

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we’ve got real time food and event recommendation engines, a JavaScript OGM, a Neo4j… Read more →

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The Top 13 Resources for Understanding Graph Theory & Algorithms

Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part… Read more →

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The 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services

“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Read more →

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RDBMS & Graphs: Graph Basics for the Relational Developer

We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Read more →

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A New Way of Looking at “Moving Relationships” in Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction A graph database is not only a simple way to store connected data, it is… Read more →

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The Key to Understanding Big Data Lies with the Graph

Article originally posted to Wired.com by Emil Eifrem. Dr. Roy Marsten wrote in March that Graph Theory was a key approach in understanding and leveraging big data. As a advocate of graph theory and as a developer building graph databases… Read more →

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