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… Read more →

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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… Read more →

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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… 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… Read more →

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →

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(hackathon)-[:AT]->(stackoverflowoffices)

This years GraphConnect 2018 – the gathering of graph enthusiasts in Times Square, New York City – featured a special gem for developers. The friendly guys from Stack Overflow opened their offices and invited developers and hackers to a “Hackathon”… Read more →

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Graph Algorithms in Neo4j: The Neo4j Graph Algorithms Library

The Neo4j Graph Algorithms Library is used on your connected data to gain new insights more easily within Neo4j. These graph algorithms improve results from your graph data, for example by focusing on particular communities or favoring popular entities. This… Read more →

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How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]

Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →

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Graph Databases for Beginners: A (Brief) Tour of Aggregate Stores

In 1841, William Buckland was one of the first paleontologists to observe what today we call the Cambrian explosion. At the time, he naturally knew that it would become a favorite metaphor used the world over to describe whenever we… Read more →

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Graph Algorithms in Neo4j: Graph Algorithm Concepts

According to Frost & Sullivan, “Graphs are one of the unifying themes of computer science – an abstract representation that describes the organization of transportation systems, human interactions and telecommunication networks. That so many different structures can be modeled using… Read more →

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Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →

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Journey Planning… And Why I Love Cypher

Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus,… Read more →

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Graph Algorithms in Neo4j: Neo4j Graph Analytics

At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To succeed with connected data applications, you need to traverse these connections at speed, regardless of how… Read more →

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This Week in Neo4j – Deep Learning on Graphs, Go Driver Released, Improved Azure Cloud support

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 we had an exciting presentation by Andrew Jefferson about Deep Learning on Graphs as part… Read more →

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Fraud Detection Using Graph Technology

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →

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Creating a Data Distribution Knowledge Base Using Neo4j

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →

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Graph Algorithms in Neo4j: Graph Technology & AI Applications

Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →

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#GraphCast: Graph Karaoke Featuring The Knife’s “Heartbeat”

Welcome to our new biweekly Sunday series, #GraphCast, which aims to unearth digestible, notable and just plain fun Neo4j YouTube videos (of which there are a lot). Whether we focus on some of our most popular videos or highlight a… Read more →

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New Features, Now: 5-Minute Interview with Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast

“One of the most surprising things I’ve seen with Neo4j is the speed at which we’re able to innovate and deliver features to our customers,” said Mark Hashimoto, Senior Director of Engineering, Digital Home at Comcast. In this week’s five-minute… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Xfinity xFi & User Personalization with Graphs

Editor’s Note: This presentation was given by Jessica Lowing at GraphConnect New York in September 2017. Presentation Summary We’ve come a long way towards making our homes smarter – but we still have a long way to go. Many of… Read more →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →

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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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We Just Closed the Largest Single Investment in the Graph Space. Now What?

I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →

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Graphs in Time and Space: A Visual Example

Editor’s Note: This presentation was given by Dan Williams at GraphConnect Europe in May 2017. Presentation Summary Graph databases are helping to solve some of today’s most pressing challenges. From managing critical infrastructure and understanding cyber threats to detecting fraud,… Read more →

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