This Week in Neo4j – Teaching Graphs, Graph Data Science Notebooks, COVID-19, NeoMap, Drivers Galore, XRPlorer
By Michael Hunger, Developer Relations
March 7, 2020 6 mins read
Greetings graphistas! In this week’s edition we watch Risa Myers’ NODES talk where she shares her experiences on teaching Neo4j to students. Tomaz Bratanic walks us through how to migrate existing code from the Graph Algorithms library to its successor,… Read more →
Explore: blockchain • drivers • neomap • python • r • ruby • spatial • twin4j
Graph Algorithms: Make Election Data Great Again
By Rachel Howard
August 22, 2017 12 mins read
Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read more →
Explore: APOC • betweenness centrality • community detection algorithm • cypher • Graph Algorithm • graphconnect • law of the few • PageRank • python • r
The Emergence of the Enterprise DataFabric
By Rachel Howard
June 1, 2017 9 mins read
Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Read more →
Explore: Big Data • cypher • data science • DataFabric • graph technology • graphconnect • nosql • r • RDF • relational database
How NASA Finds Critical Data through a Knowledge Graph
By Rachel Howard
May 17, 2017 12 mins read
Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Read more →
Explore: data science • graph visualization • graphconnect • knowledge architecture • Knowledge Graph • knowledge management • latent Dirichlet allocation • MongoDB • nasa • r
The 5-Minute Interview: Daniel Himmelstein, Postdoctoral Fellow at University of Pennsylvania
By Rachel Howard
January 6, 2017 3 mins read
“This is a really advanced graph algorithm and Cypher nailed it,” said Daniel Himmelstein, a Postdoctoral Fellow at the University of Pennsylvania. Before using Neo4j, it took as many as 1,000 lines of code to write the main query for… Read more →
Explore: 5-minute interview • Bioinformatics • biology • bolt • cypher • Graph Algorithm • graphconnect • Neo4j Community • python • r
Who Cares What Beyoncé Ate for Lunch?
By Rachel Howard
November 16, 2016 13 mins read
Editor’s Note: This presentation was given by Alicia Powers at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: The global obesity epidemic How to verify your data model The key components of a recommendation engine… Read more →
Explore: Beyoncé • CDC • center for disease control • data model • graph data model • graphconnect • r • real-time recommendations • recommendation algorithm • Recommendation Engine
Building a Real-Time Recommendation Engine with Data Science
By Bryce Merkl Sasaki
August 17, 2016 12 mins read
Editor’s Note: This presentation was given by Nicole White at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: Basic graph-powered recommendations Social recommendations Similarity recommendations Cluster recommendations – What we’re going to be talking about… Read more →
Explore: cartesian product • clustering algorithm • cypher • data science • Euclidean distance • graphconnect • r • real-time recommendation • Recommendation Engine • social recommendation
Making a Difference: The Public Neo4j-Users Slack Group
By Bryce Merkl Sasaki
August 5, 2015 4 mins read
Update We are moving our Neo4j Community Support Forum to a new place as we have outgrown Slack. Thank you all for your help and support there. Now join us on community.neo4j.com for a better experience Making a Difference: The… Read more →
Explore: cypher • go • java • neo4j • PHP • python • r • ruby • slack • stackoverflow
The Secret to More Efficient Data Science with Neo4j and R [OSCON Preview]
By Nicole White, Data Scientist
June 29, 2015 3 mins read
It’s a sad but true fact: Most data scientists spend 50-80% of their time cleaning and munging data and only a fraction of their time actually building predictive models. This is most often true in a traditional stack, where most… Read more →
Explore: data science • graph database • neo4j • nosql • open source • Oracle • OSCON • r • sql • sql queries