A scholar walking into the Library of Alexandria in 200 BC –the ultimate repository of human knowledge at the time– would search for a…

Recently similarity algorithms were introduced in Neo4j graph algorithms library, so I decided to show how easy it has become to infer a graph using Jaccard similarity and then run Community detect…

The following document was prepared by Stefan Plantikow (Neo4j Cypher language designer). It compares the three closely-related languages, PGQL, Cypher and G-CORE, which The GQL Manifesto proposes to be fused into a new standard GQL language, exploiting the very heavy overlap of their current and intended functionality. There are clickable links to the specs/papers that describe […]

GDPR can offer valuable insights into your organization's overall visibility.

From a talk at the Data Architecture Summit in Chicago in 2018--reviews digital transformation and what deep transformation really implies at the data layer. C…

Recently I decided to teach myself #React and #electron so I built out a IDE for running traversals and visualizing results for @apachetinkerpop enabled databases. If you want to try it out you can get it here: https://t.co/Yb6eaF6HKo #graphDB #graph— Dave Bechberger (@bechbd) August 23, 2018

Personal data is being centralized at an unprecedented scale, and this comes with widely known and far-reaching consequences, considering the recent data scandals with companies such as Equifax and Facebook. Decentralizing personal data storage allows people to take back control of their data, and Semantic Web technologies can facilitate data integration at runtime…

Watch the GraphConnect presentation by Dom Davis, cofounder of Tech Marionette, to discover the benefits of building a meta graph model for your domain.

Did you ever dream about becoming a famous detective? A new (teenage, possibly) Sherlock Holmes? Well, in the area of Data Modeling you now have good chances of showing off how good you are at detecting. What? Well, detecting the data models from evidence, of course.

Neo4j, DataStax Graph and Janus property graph schema design decisions for vertex and edge definitions.

There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparen…

In this post, we look at how we can fight cyber fraud with real-time graph analytics, including things like identity theft, account takeover, and more.

Learn the fundamental algorithms and theories used for understanding large-scale graphs and knowledge graphs.

GDPR: 4 letters, an acronym being a nightmare for many companies. For the first time companies are really required to manage their data storage, workflows, security processes and processing. This session is about how graph database can support a GDPR compliance assessment.

Stardog 5.1 adds support for GraphQL, an expressive path query SPARQL extension, and stored functions.

We often have questions like “What time is the meeting with Susan?” or “When does Walmart open?”. These questions ask for a property of an…

We're introducing new features that help you resume tasks where you left off, keep track of ideas and content that you found useful, and get relevant suggestions of things to explore next.

The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.

Knowledge graphs are used in various applications and have been widely analyzed. A question that is not very well researched is: what is the price of their pro…

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.