GraphConnect Preview: Neo4j Drivers, Bloom, Graph Algorithms

In this session we'll be doing a preview of some of the talks for the GraphConnect 2018 conference in New York. We'll have talks on the state of Neo4j drivers, Neo4j Bloom, and a NetworkX API for Graph Algorithms.

Please sign up on the Skillsmatter page (https://skillsmatter.com/meetups/11260-neo4j-user-group)

The Neo4j Driver Ecosystem in 2018 - Nigel Small

Nigel will talk about the evolution of Drivers from community and HTTP, through the introduction of Bolt and official drivers, cluster routing and async. He'll then show the future with new languages (e.g. Go), flow control and the upcoming “connector architecture” platform and resource site for driver authors.

Bloom tips and tricks for domain knowledge experts - Ljubica Lazarevic

In this talk Lju will introduce tips and tricks to attendees who are domain knowledge experts, but don’t necessarily have a background in SQL/Cypher-led data exploration.

The talk will cover: - The importance of a good data model, and how Bloom uses it - Thinking about the types of patterns you can replicate and apply to a specific domain - Converting some Cypher queries into their Bloom equivalents

A NetworkX-esque API for Neo4j Graph Algorithms - Mark Needham

When I first started learning Python I came across the NetworkX library and always enjoyed using it to run graph algorithms against my toy datasets.

Nowadays Neo4j has its own Graph Algorithms library but we have to call that via Cypher procedures which isn’t quite as nice. I wanted to fix that.

As a result, a few months ago I started writing a NetworkX-esque API that would provide a nice wrapper around Neo4j’s algorithms. In this talk I’d like to show off the library and how easy it is to use the networkx function calls that you’re used to without having to worry whether your graph will fit in memory in your Python program.