In part 2 of this fraud detection series, we will provide more formal definitions for resolving entities that will allow us to partition well-defined communities in a scalable manner. Read more →
In the first part of this fraud detection series, we will introduce the sample graph dataset we are using and begin exploring the graph for potential fraud patterns. Read more →
Fraud Detection is one of today's most challenging data science problems. Thankfully, Neo4j Graph Data Science (GDS) offers practical solutions that empower data scientists to make rapid progress in fraud detection analytics and machine learning. Read more →
Check out how to build and visualize an organization chart with graph databases, which gives you a 360° view of your organization. Read more →
Next to a neat graph visualization, tables or traditional charts are an immensely powerful way to make your data visible. Put this all together in an interactive dashboard, and you’ve got an amazing way to tell a graph story. Read more →
In this post, I explore how the Neo4j Graph Data Science (GDS) library can be applied to rapidly develop supervised ML pipelines for ER and walk through an example to demonstrate how it could be applied to your own data. Read more →
Check out how to analyze Twitch streamers and their audiences in Sandbox with Neo4j APOC and Graph Data Science. Read more →
Discover how to have a cybersecurity graph database on your PC using Neo4j and the open-source tool GraphKer. Read more →
Learn how you can use correlation between stock prices to infer a similarity network between stocks – and then use that network information to help you diversify your portfolio. Read more →
Discover what to consider when choosing your database and how you can use a native graph database as a general-purpose database. Read more →
Learn how to deal with components of temporal instants and translating duration values into specific measurements in Cypher. Read more →
Read this blog series to explore the exciting new features in Neo4j 4.3, starting with relationship property indexes this week. Read more →
APOC contains about 500 procedures and functions, here we’ll discuss some of them that are very interesting and use cases about their applications. Enjoy!Started as a very simple collection of useful Procedures and Functions in 2016 the APOC project raised… Read more →
My previous part 1 post on this topic introduced Cypher dates and translated a few other date formats to the Cypher-supported ISO 8601 format. If you read that, then this post is the next step with Cypher dates that covers… Read more →
At Cylynx, we build tools and solutions to help financial crime investigators connect the dots between their data points. This calls for a custom graph application to provide additional time series and investigative functionalities. Building a connector to Neo4j was… Read more →
Visualizing graphs is hard. When I started working with graph data, I realized it takes significant work to create intuitive graph visualizations. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.In this article, I’m zooming… Read more →
No matter what database, programming language, or webpage you might be using, dates always seem to cause headaches. Different date formats require calculations between application date pickers in user-friendly formats and system dates in backend devices and data sources. Then,… Read more →
My latest research for integrations with Neo4j brought me to Retool: a low-code tool for building applications with drag-and-drop components and Javascript customizations. Still not sure what that means? Read more →
How to combine Named Entity Linking with Wikipedia data enrichment to analyze the internet news.A wealth of information is being produced every day on the internet. Understanding the news and other content-generating websites is becoming increasingly crucial to successfully run a… Read more →
