Data Day Texas – Introduction to Graph Data Science for Python Developers

Clair Sullivan, Neo4j Connected data is everywhere! In data science and machine learning we create models based on the idea that each data point within a set is an independent measurement. However, this assumption is relaxed when we are talking… Read more →

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ConFoo conference – Pouring Coffee into the Matrix – Java Applications on Neo4j

Many of us have built applications for traditional data structures (like relational database tables), but is it different for graph data stores? In this session, we will cover a brief intro to graphs and build a typical Java application for… Read more →

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The Power of Graph Databases and Graph Data Science

Learn more about the power of graph databases and graph data science for the Financial Services sector. Neo4j is used at almost all of the largest banks in the world, in areas of e.g. fraud detection, Anti-money laundering and 360… Read more →

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Neo4j 4.4 Release Stream

Special Stream to celebrate the release of Neo4j 4.4

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Build a Hands-On Similarity Graph

The Kansas City Graph Databases Meetup is back! Join us for a hands on workshop where you will build a similarity graph from census data, visualize the results with Neo4j Bloom, and use a community detection algorithm to discover similar… Read more →

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Codemotion 2021 – All API, No Boilerplate – Building Secure GraphQL APIs Powered by a Graph Database

Building GraphQL API starts with the type-definition declaring the entities and operations of the API. But what then? Usually you’d go ahead and implement resolver by resolver manually to power your API. With neo4j/graphql all that’s taken care of and… Read more →

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Codemotion 2021 – Putting the Graph In GraphQL With The Neo4j GraphQL Library

GraphQL exposes application data as a graph which can introduce challenges if your backend isn’t graph-ready (think slow JOINs as a result of nested GraphQL queries and the dreaded n+1 query problem). The Neo4j GraphQL library enables developers to build… Read more →

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Improving News Recommendations With Cloudflare Workers & Knowledge Graphs

Will Lyon ( https://twitter.com/lyonwj ) Surfacing relevant content to users can be a particular challenge for news sites. In this talk we’ll explore how to build a location-aware news recommendation endpoint using Cloudflare Workers and the Neo4j graph database.

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Create a Similarity Graph from Node Properties with Neo4j

Nathan Smith, Neo4j Cluster analysis helps us uncover structures hidden within data. We can use unsupervised machine learning algorithms to group data items into clusters so that items have more in common with other items inside their cluster than they… Read more →

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