The Future of AI: Machine Learning and Knowledge Graphs

Using knowledge graphs and AI together can improve the accuracy of the outcomes and augment the potential of machine learning approaches.

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Graph Embeddings: AI That Learns from Your Data to Solve Problems

Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.

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Graph Data Science: The Secret to Accelerating Innovation with AI/ML

Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.

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12 NODES 2021 Talks You May Have Missed

Check out the coolest graph stories and projects from Neo4j Developer Expo and Summit 2021 you may have missed.

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The Top 5 Neo4j Webinars of 2021

While we can look back and say that 2021 was a year of disruption, the same rings true for the world of tech, especially in the graph space. I’m constantly amazed by how connected our world is becoming and can… Read more →

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This Week in Neo4j – Health Care & Life Sciences Workshop, Cloudflare Workers, Apache Hop, and More

Check out what’s new this week in Neo4j, including health care & life sciences workshop, Cloudflare workers, Apache Hop and more.

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#GraphCast: Why You Should Be Thinking About Bias in AI

Check out this video on algorithmic bias in AI, plus my take on why tracking data lineage in a knowledge graph is part of the solution.

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This Week in Neo4j – Twitch, Stackoverflow, Masterclass, Workshop

Hello, everyone! ? Is it just me or is this month getting spookier and spookier by the day? I’m sure it’s just me, but it still doesn’t feel like I’m the only one who’s been spooked this month. At least… Read more →

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This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB

Hello, everyone! As we begin a new quarter – and enter the spookiest month of the year – Twin4j brings you both tricks and treats from the past week in the world of Neo4j. In this issue, we will see… Read more →

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This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data

Hello, everyone! In this issue, we’re featuring Alexios Pantavos, a developer who has worked tirelessly to help other Neo4j Community members. The folks at Graphlytic published a video tutorial that shows you how to define rules for mapping styles with… Read more →

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Neo4j Graph Data Science Library 1.6: Fastest Path to Production

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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Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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11 Awesome Neo4j Blogs from 2020

Check out 11 awesome Neo4j blogs from 2020 on topics ranging from FinCEN files and COVID-19 graphs to knowledge graphs and AI.

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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Announcing Neo4j for Graph Data Science

Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.

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Fujitsu Laboratories of America Partners with Larus to Provide Enhanced Graph AI Technologies to Neo4j Customers

Fujitsu Laboratories is building on Larus’s expertise in Neo4j customer requirements and application domain knowledge with advanced graph AI technologies.

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Introducing Neo4j Graph Database 4.0 [GA Release]

It’s here – the official GA release of Neo4j graph database 4.0! Read this blog by Neo4j Chief Scientist Jim Webber to learn everything you need to know.

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Neo4j Staff Predictions for 2020

A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →

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Neo4j, ML, AI And Connected Data

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How Graphs Enhance Artificial Intelligence

Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.

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Improving Machine Learning Predictions Using Graph Algorithms [Video]

Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.

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Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience

Save the date for GraphConnect 2020, April 20-22 in Times Square, New York City, and sign up to receive notifications about upcoming event details.

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The Evolution and Future of Graph Technology: Intelligent Systems

The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →

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