We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social nights. Curious about graphs, want to pimp your non-RDBMS skills? Join us!
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The Neo4j Driver Ecosystem in 2018
Featuring 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...
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Bloom Tips and Tricks for Domain Knowledge Experts
Featuring 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.
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A NetworkX-esque API for Neo4j Graph Algorithms
Featuring Mark Needham
When Mark Needham first started learning Python he came across the NetworkX library and always enjoyed using it to run graph algorithms against my toy datasets.
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Python Dependencies
Featuring Mark Needham
In this QuickGraph Mark will show you how to find the dependencies between your pip modules and import them into Neo4j. We'll import the dependency graph of a few popular libraries - scikit-learn, tensorflow, pandas, and neo4j - and see what they have between them. If we get time we'll...
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Strava
Featuring Mark Needham
Mark is an avid runner and tracks his run using the popular Strava application. In this talk we'll learn how to load data into Neo4j using APOC's Load JSON procedure and then slice and dice the data using the temporal datatype released in Neo4j 3.4.
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Building the Wikipedia Knowledge Graph in Neo4j
Featuring Jesus Barrasa
For this QuickGraph Jesus will use data about Wikipedia Categories. You may have noticed at the bottom of every Wikipedia article a section listing the categories it’s classified under. Every Wikipedia article will have at least one category, and categories branch into subcategories forming...
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Taxonomies from Tagged Data
Featuring Jesus Barrasa
Say we have a dataset of multi-tagged items: books with multiple genres, articles with multiple topics, products with multiple categories. We want to organise logically these tags - the genres, the topics, the categories - in a descriptive but also actionable way. A typical organisation will be...
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User Path Analysis in Neo4j
Featuring Dilyan Damyanov
Interested in charting the paths users take on your website or in your app is hard and expensive to do in a traditional relational database? Don't miss this month's Neo4j meetup!
web-analytics graph-database data-science bigdata graphs user-path-analysis neo4j -
The Fragment Network: A Chemistry Recommendation Engine Built Using Neo4j
Featuring Richard Hall
This presentation will show how Neo4j was used to build a chemistry recommendation system. I’ll give a brief introduction to fragment-based drug discovery, and how one might find fragments that bind to a protein of interest.
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Graph-Powered Machine Learning
Featuring Dr. Alessandro Negro
Graph-based machine learning is becoming an important trend in Artificial Intelligence, transcending a lot of other techniques.
chatbots graphs machine-learning neo4j