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This Week in Neo4j: GraphQL, GraphXR, Marvel Studios API, Speech to Cypher, Free Training, and More

"Full Stack GraphQL Applications," a book by William Lyon, is hot off the presses in both print and ebook formats from Manning Publications. This book shows you how to develop full stack GraphQL applications using GraphQL, React, Apollo, and Neo4j database as well as how to deploy our... read more


Using Graphs to Unlock Forensics: The 5-Minute Interview With Thomas Larsen

“What makes me excited about graphs is I don't know where this can take us. I see a lot of possibilities. In fact, it's a bit overwhelming knowing where we can go with it,” says Thomas Larsen, Senior Manager of Forensics Analytics at ABB. We’ve got another 5-Minute Interview for... read more


Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

Design thinking is the secret to successful graph-powered apps. My organization, Predictive UX, designs graph-based applications. We come at it from a human-first user experience perspective and work primarily with enterprise organizations on complex content and data projects. I want to share... read more


Niklas Saers

This Week in Neo4j: CSV Import, Rails Integration, Better Farming, ML for Graphs, and More

In this week's newsletter, researchers at UCLA DataResolutions set out to train a model to predict team assignments of their members based on who they know in the organization. The project integrates a graph deep learning pipeline with a knowledge graph to create a complete stack of network... read more


Summer 2022: Neo4j AuraDB Update

Neo4j AuraDB is a cloud-based, fully managed graph database offering. Built on a native graph engine with uncompromising performance, AuraDB helps you focus on your applications with rich data insights without the worry of managing infrastructure. Whether you are new to Neo4j AuraDB or... read more


Antonio Origlia

This Week in Neo4j: Graph Solutions, Healthcare Analytics, Recommendation Engine, Integration Tests, and More

In this week's newsletter, Chintan Desai demonstrates how the connected data capabilities of a graph database can help achieve what is either impossible or complicated with other database models. He performs analytics on a knowledge graph translated from the publicly available FDA Adverse Event... read more