Solve for Success: The Transformative Power of Data Visualization

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This Week in Neo4j – Build a Knowledge Graph, GRANDstack Podcast App, Archimate Model,

Hello, everyone! In this week’s episode, Jesús Barrasa shows us how to build a life sciences knowledge graph with public RDF sources on infectious diseases, viruses, chemicals, drugs, and scientific literature. Will creates a livestream and blog post on building… Read more →

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The Future of AI: Machine Learning and Knowledge Graphs

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#GraphCast: A Renaissance of Knowledge Graphs

Check out this week’s #GraphCast series for an informative podcast on knowledge graphs with Amy Hodler.

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Graphs in China: 5-Minute Interview with Richard Wu & George Zhang

Read this interesting interview with the co-founders of Beijing We-Yun on how they use Neo4j’s graph technology to help their business.

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20 NODES 2020 Talks You May Have Missed

Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.

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A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of 2020

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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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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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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This Week in Neo4j – Fullstack GraphQL Book, Faux Bitmap Indexes, Beginner’s Guide to the Neo4j

Hi graph gang, In this week’s video, David Meza shows us how to develop a Knowledge Graph of Competency, Skills, and Knowledge. Max De Marzi starts a series of blog posts showing how to use faux bitmap indexes to optimise… Read more →

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Rethink Your Master Data: From MDM to Innovation

Read the final blog in Neo4j’s new five-part series on how Neo4j’s graph technology can help you rethink your master data.

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This Week in Neo4j – Identifying Graph Shaped Problems, New Neo4j Online Training Courses, Small-world phenomena

Hi graph gang, In this week’s video, Lju Lazarevic teaches us how to find graph based problems. Helena Deus explains how to navigate the virus regulation pathway for COVID-19, Anders Brams builds a movie recommendation engine, and Nathan Smith explores… Read more →

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#GraphCast: How a Social Knowledge Graph Improves Remote Collaboration

Check out this week’s #GraphCast, featuring a talk on how a social knowledge graph enhances remote collaboration through instant messenger analysis.

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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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This Week in Neo4j – Flight Search Application, Graph Data Science Library Preview, Neo4j 4.0 Treasure Map

Hi graph gang, In this week’s video Vlasta Kůs and Golven Leroy’s show us how to do social media monitoring using Neo4j and NLP techniques. We have the preview release of the Graph Data Science Library, a Neo4j 4.0 Treasure… Read more →

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8 Awesome Neo4j Blogs from 2019

Check out the top eight Neo4j blogs of 2019, picked ever so lovingly and objectively by our managing editor, who considers every blog we publish her baby.

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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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AI & Graph Technology: How Graphs Accelerate Machine Learning

Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.

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AI and Graph Technology: 4 Ways Graphs Add Context

Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.

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Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs

Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →

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This Week in Neo4j – Content-Based Recommendations using Knowledge Graphs, Augment Intelligence with Graph Power, Graph Algorithms in Practice

This week we learn how to build a content recommendation system using knowledge graphs, augment business intelligence with graph power, and learn how to use BloodHound to assist with an analysis of password hashes from two different domains. Featured Community… Read more →

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Keep Calm and Drink Tea: Graphing Britain’s Most Beloved Hot Beverage

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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This Week in Neo4j – Time Based Graph Versioning, Pearson Coefficient, Neo4j Multi DC, Modeling Provenance

Welcome to This Week in Neo4j, where we round up the last week in the world of graph databases. This week our Chief Scientist Dr Jim Webber describes how to run Neo4j in a Multi Data Center Environment, Max De… Read more →

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