Graph Algorithms in Neo4j: Strongly Connected Components

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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

We’re inviting our global community to join us on April 15, 2019 to celebrate the birth of the inventor of graph theory! On this day, we invite all our Neo4j community members around the globe in help us lead this… Read more →

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Graph Algorithms in Neo4j: Closeness Centrality

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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#GraphCast: Fake News Edition

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →

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DeepWalk: 5-Minute Interview with Dr. Steven Skiena

“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →

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Leveraging Data Science Tools for Fraud Investigation

Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →

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Graph Algorithms in Neo4j: Betweenness Centrality

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan

“One thing that a relational database isn’t, is relational ,” said Frederick Kagan, Director of the Critical Threats Project at the American Enterprise Institute. All intelligence organizations are interested in seeing data connections and traversing networks. The Critical Threats Project… Read more →

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Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]

Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →

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Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

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Graph Algorithms in Neo4j: Degree Centrality

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera

“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →

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Graph Algorithms in Neo4j: PageRank

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Apache Spark + Cypher: We Need Your Feedback & Votes

Editor’s Note: Alastair Green (Neo4j Query Languages Lead) and Martin Junghanns (Neo4j Cypher for Apache Spark project) will be speaking at the Spark + AI Summit in San Francisco this April. Want to Extend the Graph Capabilities of Spark? Let’s… Read more →

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Graph Algorithms in Neo4j: Minimum Weight Spanning Tree

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph

We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →

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Mastering Highly Distributed Architecture

Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →

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Graph Algorithms in Neo4j: All Pairs Shortest Path

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs

Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →

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Moving From the Static Grid to the Virtualized Graph Database

Editor’s Note: This presentation was given by Aaron Wallace and Andrew Chumney at GraphConnect New York City in 2017. Presentation Summary The adoption of the European Union’s GDPR regulation in May of 2018 has forever changed the way enterprises have… Read more →

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The Top 10 Neo4j Videos of 2018

Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →

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7 Seriously Awesome Neo4j Blogs from 2018

We all know no one really reads these intros to year-end listicles, so we’ll keep it brief and just say this: thank you to you for reading. We are incredibly grateful to everyone who has visited the Neo4j blog in… Read more →

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Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

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Graph Algorithms in Neo4j: Single Source Shortest Path

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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This Week in Neo4j – Crime Investigation Sandbox, GraphQL to Cypher transpiler for the JVM, Exploring Yelp with Graph Algorithms

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation… Read more →

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