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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Graph Algorithms in Neo4j: Graph Technology & AI Applications

Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… 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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This Week in Neo4j – Learning taxonomies from user tagged data, Hierarchical community detection using Louvain, Case Law Network Graph

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 Hierarchical community detection using Louvain and a Case Law Network Graph. We… Read more →

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Why You Should Start Thinking About Your Organization as a Graph

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… 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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GraphConnect 2018 Agenda: Everything You Need to Know

You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best… Read more →

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The Top 10 Reasons to Attend GraphConnect 2018 in New York City

Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →

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Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace

On behalf of the Neo4j team, I am happy to announce that today we are introducing the availability of the Neo4j Graph Platform within a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace. This new offering… 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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Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay

“Most people are not yet looking at graph databases from a machine-learning point of view. All the inherent knowledge we as humans use to make decisions can be encoded in a graph structure,” said Ajinkya Kale, Senior Applied Researcher at… Read more →

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The ROI on Connected Data: How Connections Unlock Business Value [feat. eBay]

The value of data comes from an organization’s ability to understand it in relation to other data. By itself, data offers finite value. When connected, data’s value is infinite. Case in point: There’s a difference between knowing that a customer… Read more →

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This Week in Neo4j – Kotlin, Dynamic Decision Trees, Categorical PageRank

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 categorical PageRank using graph algorithms, more on knowledge graphs, and an interview… Read more →

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This Week in Neo4j – FOSDEM, Knowledge Graphs, Azure Template

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 the finalised FOSDEM Graph Processing Room schedule, an updated Azure template, knowledge… Read more →

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This Week in Neo4j – 9 December 2017

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. Featured Community Member: Mike Morley This week’s featured community member is Mike Morley, President at Menome… Read more →

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This Week in Neo4j – 7 October 2017

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. Featured Community Member: Michal Bachman This week’s featured community member is Michal Bachman, founder and Managing… Read more →

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Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →

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Machine Learning, Graphs and the Fake News Epidemic (Part 1)

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →

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This Week in Neo4j – 29 July 2017

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. Featured Community Member: Dave Bennett This week’s featured community member is Dave Bennett, Identity Solution Architect… Read more →

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Graph Technology for Enterprise Master Data Management (MDM)

Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →

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How NASA Finds Critical Data through a Knowledge Graph

Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Read more →

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Relevant Search Leveraging Knowledge Graphs with Neo4j

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →

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From the Neo4j Community: September 2016

The Neo4j community has been busy this autumn, and September (as the month before GraphConnect) was exceptional. Read on to see this past month’s top content, including great articles on polyglot persistence with MongoDB, RDF-to-graph transitions and using Neo4j with… Read more →

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Your Technical Documentation Should Be a Graph: Here’s Why

TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Read more →

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