This Week in Neo4j – 12 August 2017
August 12, 2017 4 mins read
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: Eve Freeman This week’s featured community member is Eve Freeman, Applications Development Analyst… Read more →
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Cypher: Write Fast and Furious
August 11, 2017 6 mins read
Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don’t tips to help your Cypher queries run faster than ever in Neo4j.… Read more →
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Machine Learning, Graphs and the Fake News Epidemic (Part 2)
August 10, 2017 5 mins read
In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Read more →
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This Week in Neo4j – 5 August 2017
August 5, 2017 4 mins read
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: Samuel Yang This week’s featured community member is Samuel Yang, a.k.a @cyphersam, Senior… Read more →
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Streamlining Processes with Neo4j at Glidewell Laboratories
August 4, 2017 15 mins read
Editor’s Note: This presentation was given by Galit Gontar and Robert Edwards at GraphConnect San Francisco in October 2016: Presentation Summary As a vertically integrated company, Glidewell Laboratories needs their processes and workflows to be flexible and open to innovation.… Read more →
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Proudly Releasing: Efficient Graph Algorithms in Neo4j
August 3, 2017 5 mins read
I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Read more →
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Machine Learning, Graphs and the Fake News Epidemic (Part 1)
August 2, 2017 4 mins read
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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Financial Services & Neo4j: Cybersecurity
August 1, 2017 4 mins read
Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… Read more →
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