This Week in Neo4j: Announcing Graph Data Science 2.0 and AuraDS Releases!!!
By Yolande Poirier
April 16, 2022 3 mins read
The big news this week for Neo4j was two major releases: Graph Data Science (GDS) 2.0 and AuraDS. GDS 2.0 brings a ton of new features, such as improvements to similarity algorithms, unified machine learning pipelines, and simplified graph projections… Read more →
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New in 2022: Introducing Graph Data Science 2.0 and General Availability of AuraDS
By Angela Zimmerman
April 12, 2022 4 mins read
Today, we’re celebrating the two-year anniversary Graph Data Science at Neo4j with some incredible advancements.
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This Week in Neo4j: Space Junk, SHACL, Neo4j Apps with Python, Under The Hood, Spring Data, and More
By Yolande Poirier
April 9, 2022 3 mins read
You’ve probably heard about space debris and the growing risk of collision to satellites and space stations. According to Moriba Jah, who created ASTRIAGraph at the University of Texas at Austin, there are 26,000 trackable objects in space (excluding the… Read more →
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This Week in Neo4j: ML on Graphs, Extraction Pipelines, Kubernetes, Cybersecurity, Knowledge Graph, and More Copy
By Yolande Poirier
April 6, 2022 3 mins read
There’s a wealth of fine content and varied perspectives on graphs in this week’s newsletter. The not-to-miss articles include transferring unstructured text – including emails, news articles, and more – into a knowledge graph. We also show you how to… Read more →
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Neo4j Graph Database 4.4 & Graph Data Science 1.8
By Datenbank Spektrum - March 21, 2022
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This Week in Neo4j: Viterbi Algorithm, Cypher Map Projection, Knowledge Graphs, and Full-Stack GraphQL
By Yolande Poirier
March 19, 2022 3 mins read
We have a knack for finding the power of relationships! This week, we look at the transformative influence of knowledge graphs in medical research and crime investigations. Enjoy the article demonstrating the Viterbi algorithm in Neo4j and improve your analytical… Read more →
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This Week in Neo4j: Full Stack Graph, Fraud Detection, Kafka, and Intro to Graph
By Yolande Poirier
March 12, 2022 3 mins read
Welcome to Neo4j Under The Hood! – a series of short videos, presented by our top engineering leaders. Chris Gioran, our Chief Architect, kicks off this series explaining the power of graph databases and their transformative use cases. He introduces… Read more →
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Graph Embeddings: AI That Learns from Your Data to Solve Problems
By Enzo
March 4, 2022 11 mins read
Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.
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Graph Data Science Use Cases: Entity Resolution
By Angela Zimmerman
February 14, 2022 6 mins read
Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.
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Graph Data Science: The Secret to Accelerating Innovation with AI/ML
By Enzo
January 26, 2022 14 mins read
Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.
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From Law Enforcement to Graph Technology: An Unlikely Relationship
By Angela Zimmerman
November 18, 2021 3 mins read
After years of working in law enforcement, Dominic Teo was drawn into the realm of connected data and decided to join Neo4j. Here’s why.
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You Don’t Need a Crystal Ball When You Have Graph Data Science
By Angela Zimmerman
November 12, 2021 3 mins read
Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain… Read more →
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The untapped potential of HPC + graph computing
By Venture Beat - October 30, 2021
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Analyzing travel logs of digital nomads with Neo4j Graph Data Science
By Towards Data Science - October 3, 2021
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What’s New with Graph Data Science: GDS 1.7 Release
By Angela Zimmerman
September 23, 2021 5 mins read
At this point, we’re all back from our summer holidays – whether we want to be or not. One consolation prize, though, is that the team at Neo4j spent our summer putting together another fabulous update to the Graph Data… Read more →
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Auswirkungen von Covid-19 auf Veranstaltungen im Jahr 2021
By Datenbank Spektrum - August 20, 2021
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This Week in Neo4j – Will it Graph, Python Database Backups, Knowledge Graphs, Kinesis, and Kanye West
By Clair Sullivan
August 7, 2021 6 mins read
Hello, everyone! It’s August and many of us are thinking about taking a restful break from work for the month, or perhaps returning our kids to school. However, our community members are hard at work generating some great things with… Read more →
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Neo4j Graph Data Science Library 1.6: Fastest Path to Production
By Enzo
June 2, 2021 4 mins read
Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.
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Twitchverse: A network analysis of Twitch universe using Neo4j Graph Data Science
By Towards Data Science - May 21, 2021
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A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of 2020
By Enzo
December 30, 2020 6 mins read
2020 provided to be a year like no other – wouldn’t you agree? Nothing explains this more than supply chain woes like no toilet paper in stores! (There’s even a graph example for that!) Despite the many unique challenges this… Read more →
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Why graph data science is the enterprise’s friend in the 2020s
By IT Pro Portal - December 15, 2020
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Graph Databases Gaining Enterprise-Ready Features
By Datanami - November 12, 2020
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Graph Databases Gaining Enterprise-Ready Features
By EnterpriseAI - November 4, 2020
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Graph-native Machine Learning-Verfahren
By Web & Mobile Developer - November 2, 2020
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Developer Snapshots: Programmierer-News in ein, zwei Sätzen
By Heise Online - October 30, 2020
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