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Learn about responsible AI and gain practical tips.

Responsible AI: The Critical Need for Context (and Practical Tips)

Why is it that we naturally talk about graphs as if they were context? That's because graphs were built to understand relationships – in fact, it's how graph theory started. Graphs were not only built to understand relationships, they were built with relationships. And that's... read more


This Week in Neo4j – Building Spatial Search Algorithms for Neo4j, Colruyt Data Science assignment, GR-R-ANDstack, Releases of APOC and Halin

Hi graph gang, In this week’s video from the NODES 2019 conference, Craig Taverner demonstrates a new library that we’ve been working on to prototype new spatial algorithms. Tomaz Bratanic builds a graph analytics pipeline to explore the transport system in Rome, Rik tries... read more


Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara

"We're the world's number one Neo4j consultancy, which we're proud of and have worked very hard at," said Kyle McNamara, CEO, Americas, at GraphAware. In this week's five-minute interview (conducted at GraphTour DC 2019), we talk with... read more



Discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.

Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis

Let’s take a look at a topic that is front and center in all of our lives. We can likely all agree that the U.S. healthcare system has its issues. Healthcare costs rise year after year as the quality of care and individualized attention we receive declines. Patients are prescribed... read more


This Week in Neo4j – APOC Pearls, Exploring Full-Text Search, Exploring structural balance, Graphistania v2.0

Hi graph gang, A few colleagues and I spent a couple of days this week at the Big Data London Conference this week. I was mostly on booth duty, but also presented a variant of Amy Hodler’s fantastic Responsible AI talk. If you’re interested in learning about some of the... read more