This Week in Neo4j – Near Natural Language Search in Bloom, Neo4j on Pivotal Container Service, Neo4j – Kafka – MySQL

This week Anurag Tandon shows us how to do Near Natural Language Search in Bloom, and we saw the release Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS). We also learn how to use Siren, an investigative intelligence platform,… Read more →

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Toward AI Standards: Context Makes AI More Robust

Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.

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Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]

Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.

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Improving Machine Learning Predictions Using Graph Algorithms [Video]

Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.

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This Week in Neo4j – Women’s World Cup Graph, Bloom Sandbox, Exploring shell companies with graph algorithms

This week Mike Morley and Sony Green show us how to model and visualize borehole data with Neo4j and GraphXR, and we have a Neo4j Graph for the Women’s World Cup. We also have a Bloom Sandbox, exploration of shell… Read more →

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NODES 2019: Launching the Neo4j Online Developer Expo & Summit!

Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.

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The Seven Bridges of Königsberg: A Dog’s Eye View

Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.

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Going Underground: Graphing and Pathfinding London Tube Lines

Read the latest installment of Joe Depeau’s blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.

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This Week in Neo4j – Graphs to fight diabetes, Overhaul to visualization tools page, Eventing Graph Data With Neo4j & RabbitMQ, Arrows Tips and Tricks

This week we learn how graphs are being used to fight diabetes and we have an overhaul to the graph visualization tools page. Michael shares his favourite tips and tricks for using the Arrows graph modelling tool, Vinodh Subramanian shows… Read more →

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This Week in Neo4j – Content-Based Recommendations using Knowledge Graphs, Augment Intelligence with Graph Power, Graph Algorithms in Practice

This week we learn how to build a content recommendation system using knowledge graphs, augment business intelligence with graph power, and learn how to use BloodHound to assist with an analysis of password hashes from two different domains. Featured Community… Read more →

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Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j

Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.

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This Week in Neo4j – Graph Visualization 101 with GraphXR, Neo4j for Google Cloud, Introducing NEuler — The Graph Algorithms Playground

The big news in the Neo4j Community this week came from the Google Cloud Next 2019 conference.

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What’s Next for Graphs: Neo4j for Google Cloud

It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →

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Graph Algorithms in Neo4j: Graph Algorithms in Practice

Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →

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This Week in Neo4j – Graph Apps Gallery Launched, Loading Bitcoin in one day, Link Prediction on Citation Network

The exciting news this week is that we launched the Graph Apps Gallery – a one stop shop where you can find all your favourite Graph Apps and discover new ones. Jennifer Reif wrapped up her series of posts on… Read more →

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Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient

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: Graph Analytics For The Throne [GoT]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… Read more →

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Announcing Neo4j Labs: Incubating the Next Generation of Graph Developer Tooling

As the Director of the Developer Relations engineering team, I couldn’t be more proud of the things we have achieved over the last few years. Our focus was to build integrations, tools and libraries that extend the Neo4j Graph Platform… Read more →

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Graph Algorithms in Neo4j: Louvain Modularity

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 – Neo4j Joins GraphQL Foundation as a Founding Member, Desktop Graph Analytics, Revamped Intro to Neo4j Training Course

This Neo4j community has had another busy week. We launched a revamped Intro to Neo4j online course, available for the bargain price of $0. Irfan Karaca and I had fun showing off Neuler – a Graph App that lets you… Read more →

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Graph Algorithms in Neo4j: Label Propagation

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 – Correlating Tags in Stackoverflow, Football meets graphs, All About the Kafka Connect Neo4j Sink Plugin

This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics – football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how… Read more →

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Graph Algorithms in Neo4j: Weakly 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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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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Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]

The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →

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