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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Categorical PageRank Using Neo4j and Apache Spark

Written by Kenny Bastani, Originally posted on his blog PageRank is an important concept in computer science and modern technology. It is important because it is the underlying algorithm that mostly dictates what more than 3 billion users who use… Read more →

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Using Apache Spark and Neo4j for Big Data Graph Analytics

Originally posted on my blog. Using Apache Spark and Neo4j for Big Data Graph Analytics As engineers, when we think about how to solve big data problems, evaluating technologies becomes a choice between scalable and not scalable. Ideally we choose… Read more →

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Deep Learning Sentiment Analysis for Movie Reviews using Neo4j

This post was originally published on Kenny Bastani’s blog. Sentiment analysis uses natural language processing to extract features of a text that relate to subjective information found in source materials. Movie Review Sentiment Analysis A movie review website allows users… Read more →

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Using a Graph Database for Deep Learning Text Classification

This post was written by Kenny Bastani, Developer Evangelist at Neo Technology. Kenny’s original article and past work can be found on his blog. Using a Graph Database for Deep Learning Text Classification Graphify is a Neo4j unmanaged extension that provides plug and… Read more →

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