Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do

Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →

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Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics

To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →

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Proudly Releasing: Efficient Graph Algorithms in Neo4j

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Read more →

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Navigate All the Knowledge with Spring + Neo4j

Editor’s Note: This presentation was given by James Weaver at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: WikiBrowser as a powerful learning tool The concept map architecture Explore interesting WikiBrowser use cases – What… Read more →

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Graph Databases for Beginners: Graph Search Algorithm Basics

While graph databases are certainly a rising tide in the world of technology, graph theory and graph algorithms are mature and well-understood fields of computer science. In particular, graph search algorithms can be used to mine useful patterns and results… Read more →

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