The Secret Sauce of Neo4j: Modeling and Querying Graphs

Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.

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This Week in Neo4j – Building a low-code platform, Beer Recommendations, Building A GRANDstack Real Estate Search App

Check out this week in Neo4j: building a low-code platform, real-time recommendation engines for beer and building a GRANDstack real estate search app.

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Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Graph-Powered Recommendations: A Framework for Faster Development

Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Neo4j Online Developer Expo & Summit Is Back!

NODES 2020 is a free, multi-track, one-day virtual conference loaded with highly technical presentations delivered by Neo4j experts on graph-related topics. October 20, 2020 8:00 – 17:00 EDT | 12:00-21:00 GMT Last year was a hit! With five tracks, over… Read more →

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Graph-Powered Recommendations: Instantly Evaluating Relationships

Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe

Check out this fireside chat with David Fox of Adobe, who discusses how Adobe’s Behance social media platform works with Neo4j.

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The Future of the Intelligent Application: Business Agility

Learn more about how Neo4j 4.0 provides business agility by design to your applications through multi-database and cloud deployment options.

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Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.

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A Conversation with Graphs

Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →

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Mapping Ontologies in Graphs for Personalization

Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →

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This Week in Neo4j – Analyzing PostgreSQL metadata, Similarity Algorithms Deep Dive, Decision Streams

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week I had fun with the online meetup on similarity algorithms with Tomaz Bratanic. I came… Read more →

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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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We Just Closed the Largest Single Investment in the Graph Space. Now What?

I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →

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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →

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Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom

Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →

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Knowledge Graphs: The Path to Enterprise AI

Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →

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Visualizing Healthy Lifestyles: 5-Minute Interview with Alicia Powers, SVP at NYCEDC

“The future of graph technology is already here. It’s everywhere, because we can model anything in a way that’s more close to how it is in real life,” said Alicia Powers, Senior Vice President at New York City Economic Development… Read more →

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This Week in Neo4j – JavaScript CRUD Apps, Personalised Recommendation Engines, Graph Theory Tutorial

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we’ve got real time food and event recommendation engines, a JavaScript OGM, a Neo4j… Read more →

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This Week in Neo4j – RMarkdown, New APOC release, Finding Duplicates

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have a new release of APOC, Neo4j in RMarkdown, finding duplicate users, Cypher… Read more →

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Retail & Neo4j: Customer Experience Personalization

To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →

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