Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud

Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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Graphs and the Strategic Response Efforts to COVID-19

Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.

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Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering

Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.

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GraphConnect 2020 Agenda: Everything You Need to Know

The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →

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Part 1: Using Neo4j in Business Process Modeling Scenarios

When people think about Neo4j and problems it’s good at solving, there’s a pretty wide range of use cases that come to mind: recommendation engines, fraud ring detection, bills of materials, social network scenarios, multi-level marketing systems, asset management and… Read more →

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Importing Data from the Web with Norconex & Neo4j

Dig down into the details on how to import data from the web with Norconex and Neo4j using the example of wine varietals.

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This Week in Neo4j – Versioning Approaches, Schema Based Access-Control, FOSDEM 2020, Streamlit

Check out this week’s TWIN4J blog wrapup of happenings around the Neo4j community sphere, including the release of Neo4j 4.0.

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Answering the Money Question: The 5-Minute Interview with Omar Azhar, Senior Manager Advanced Analytics at EY

In this week’s five-minute interview with Omar Azhar (conducted at GraphTour NYC 2019), we discuss how the financial services industry uses graph technology.

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Creating Aha Moments for Developers: The 5-Minute Interview with Jennifer Reif, Developer Relations Engineer at Neo4j

In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss the many projects Neo4j ‘s Jennifer Reif works with each week.

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This Week in Neo4j – Analyzing .NET Dependencies, Coloring a Sudoku Graph, Christmas Messages Graph, Making Graph Algorithms ‘Clique’

Check out this week’s TWIN4J for the latest happenings in the Neo4j community at large.

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#GraphCast: “All Graph Databases Are Not Created Equal”

Check out this week’s #GraphCast, featuring a recorded discussion on the graph database buying process. Watch “All Graphs Are Not Created Equal” now.

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Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara

Check out this 5-minute interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j.

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Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis

Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.

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Real Examples of Why We Need Context for Responsible AI

Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.

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Overcoming CCPA Challenges: Graph Technology Solves Personal Data Privacy Challenges

Read the second installment in our series on CCPA, which provides an overview on why graph databases are the right foundation for data privacy compliance.

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GraphConnect 2020: Call for Papers Closing November 15

Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.

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Announcing the Global GraphHack Winners!

Check out the three winning teams of NODES 2019 Global GraphHack. Learn about these amazing projects that extend the graph ecosystem.

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Check Out Some Global GraphHack Projects & Help Us Pick the Winners!

Learn about and review many of the exciting, awesome Global GraphHack submissions and cast your votes for the winning projects.

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Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft

Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.

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5 Ways to Innovate and Delight Users with Real-Time Recommendations

Discover five unique and effective ways to innovate with real-time recommendations by leveraging the flexibility of a Neo4j graph database.

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NODES 2019: Announcing 52 Online Talks from Leading Graph Experts

Check out the full schedule of speakers for NODES 2019, with enriching talks on graph algorithms, Neo4j drier architecture, GRANDstack and so much more,

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GQL Is Now a Global Standards Project alongside SQL

Learn how Graph Query Language (GQL) has just been approved to become an international standards project and what’s next for this graph database tech.

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It’s All in the Relationships: 15 Rules of a Native Graph Database

Learn all the rules of what makes up a native graph database and its deep search advantages over NoSQL relational databases.

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Creating an Intelligent Recommendation Framework

Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.

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Hackers, Start Your Engines: Global GraphHack 2019 Kicks Off

Grab your hacker gear and get on it: Global GraphHack is now underway. Find out the theme and what you need to know to submit your project.

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