#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem

Check out this week’s #GraphCast, featuring our CEO Emil Eifrem on how graph technology was used to expose a global money-laundering scheme.

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The Top 5 Neo4j Podcasts of 2020

This past year has been a strong one for the Neo4j community on the (digital) airwaves – especially for podcast listeners. Members of the Neo4j community and wider graph ecosystem have been hard at work this year on some of… Read more →

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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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This Week in Neo4j – Images and Wikipedia Data with GraphQL, Neo4j.Driver.Extensions, Link Prediction with AutoML

Hi everyone, I hope you all had a good week. There’s now only one week until NODES 2020, so it’s probably time to work out what talks you’re going to attend. And this week we have virtual training sessions for… Read more →

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This Week in Neo4j – Analyzing the FinCEN Files, Subway Journey Planner, Spotify Playlist Builder

Hey everyone, The big news in graph land this week was the publication of the FinCEN Files by the ICIJ. The dataset contains a vast network of industrial-scale money laundering running through Western banks. In this week’s video Michael Hunger… Read more →

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#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox.… Read more →

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Analyzing the FinCEN Files with Neo4j

The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.

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From a jumble of secret reports, damning data on big banks and dirty money

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