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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 is designed to help you better leverage graph analytics and graph algorithms so you can effectively innovate and develop... Read more →
Learn about graph algorithms in Neo4j, including the shortest path between nodes.
 

Graph Databases for Beginners: Other Graph Technologies

Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That's because the definition of fun in Königsberg was to walk around the city's seven bridges and find a path that only crossed each bridge once. (This was before Netflix.) This isn't that complex of a problem, but the people in Königsberg also weren't that good at math. So they asked... Read more →

Learn the trade-offs of each type of graph database technology, including property graphs and RDF

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Graph Algorithms in Neo4j: 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 is designed to help you better leverage graph analytics and graph algorithms so you can effectively innovate and develop... Read more →

Learn about graph algorithms in Neo4j, including the shortest path between nodes.

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#GraphCast: Graph Algorithms & Game of Thrones

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, shined some light back on our Intro to APOC video series (by Michael Hunger) from the YouTube archives for your viewing and listening pleasure. This week, I've selected a fun GraphTour 2018 San Francisco talk... Read more →

Watch this GraphCast video on graph algorithms and Game of Thrones

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This Week in Neo4j – Graph Visualization of Panama Papers, Neo4j Spatial, Kettle to Neo4j, Cypher Query Log Analyzer

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 Craig Taverner did a great talk about Neo4j Spatial, Jennifer Reif showed how to import data from the Marvel API into Neo4j, David Fox’s presentation about moving an activity feed from Cassandra to Neo4j was published, and more! Featured... Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with two key challenges: data silos and the lack of a tool to easily uncover important data connections. Powered with this... Read more →

Watch Geoffrey Horrell's presentation on intelligent recommendation engines for financial analysts

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

Venture capital has become an increasingly popular and often necessary source of financing for startups in today’s current business climate. Small companies that lack access to other common sources of capital, such as bank loans or debt funding, can get necessary financial backing from wealthy investors in exchange for a share of ownership. VC funding is now so widespread, receiving it... Read more →

Data visualization for machine learning (ML)

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