Graph Algorithm Archives - Neo4j Graph Database

Machine Learning, Graphs and the Fake News Epidemic (Part 2)

By Bryce Merkl Sasaki | August 10, 2017

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

Keywords: Connected Data • cypher • fake news • Graph Algorithm • graph database • graph technology • machine learning • pattern matching • relational model • sql

Proudly Releasing: Efficient Graph Algorithms in Neo4j

By Bryce Merkl Sasaki | August 3, 2017

I am very happy to announce the first public release of the Neo4j graph algorithms library. You can use these graph algorithms on your connected data to gain new insights more easily within Neo4j. You can use these graph analytics… Learn More →

Keywords: betweenness centrality • breadth-first search • closeness centrality • Connected Data • cypher • DBPedia • Graph Algorithm • Graph Analytics • PageRank • user-defined procedures

Collaborative Filtering: Creating the Best Teams Ever

By Rachel Howard | February 16, 2017

Editor’s Note: This presentation was given by Maurits van der Goes at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Why do we need virtual teams? How to develop a graph recommendation engine How to… Learn More →

Keywords: collaborative filtering • cosine similarity • cypher • data model • Graph Algorithm • GraphAware • graphconnect • MongoDB • Recommendation Engine • virtual team

The 5-Minute Interview: Daniel Himmelstein, Postdoctoral Fellow at University of Pennsylvania

By Rachel Howard | January 6, 2017

“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… Learn More →

Keywords: 5-minute interview • Bioinformatics • biology • bolt • cypher • Graph Algorithm • graphconnect • Neo4j Community • python • r

Graph Databases for Beginners: Graph Theory & Predictive Modeling

By Joy Chao | August 15, 2016

Graphs are everywhere, from illustrating the connections between Game of Thrones characters to tracking the interactions betweens hundreds of thousands of servers in a public network. Throughout this blog series, we’ve talked a lot about the practical details of working… Learn More →

Keywords: Graph Algorithm • graph database • Graph Theory • local bridge • predictive analysis • predictive modeling • Social Graph • social graph theory • structural balance • triadic closure

APOC 1.1.0 Release: Awesome Procedures on Cypher

By Bryce Merkl Sasaki | July 19, 2016

I’m super thrilled to announce last week’s 1.1.0 release of the Awesome Procedures on Cypher (APOC). A lot of new and cool stuff has been added and some issues have been fixed. Thanks to everyone who contributed to the procedure… Learn More →

Keywords: APOC • Cassandra • cypher • elasticsearch • Graph Algorithm • graph representation • MongoDB • neo4j 3.0 • Panama Papers • rdbms

APOC: An Introduction to User-Defined Procedures and APOC

By Bryce Merkl Sasaki | July 11, 2016

This is the first in a series of blog posts in which I want to introduce you to Neo4j‘s user defined procedures and the APOC procedure library in particular. Besides many other cool things, of the best features of our… Learn More →

Keywords: APOC • cypher • data transfer objects • database management • Graph Algorithm • Graph Data • neo4j 3.0 • query language • stored procedures • user-defined procedures

Game Discovery: A Recommendation Algorithm for Video Games [Community Post]

By Bryce Merkl Sasaki | May 6, 2016

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Movie recommendation systems usually ask you to rate what you like or dislike so it can… Learn More →

Keywords: cypher • document database • Game Discovery • Graph Algorithm • graph database • recommendation algorithm • Recommendation Engine • recommendation system • shortest path algorithm • video games

Graph Compute with Neo4j: Built-in Algorithms, Spark & Extensions

By Bryce Merkl Sasaki | March 9, 2016

Editor’s Note: Last October at GraphConnect San Francisco, Ryan Boyd – Developer Relations at Neo Technology – delivered this presentation on how to perform various graph compute functions within the Neo4j ecosystem. For more videos from GraphConnect SF and to… Learn More →

Keywords: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark

Moving Graphs to Production at Scale

By Bryce Merkl Sasaki | December 17, 2015

Editor’s Note: Last October at GraphConnect San Francisco, Ian Robinson – Senior Engineer at Neo Technology – delivered this in-depth presentation on how to effectively scale your Neo4j-based application for enterprise-level production. For more videos from GraphConnect SF and to… Learn More →

Keywords: application architecture • Application Development • cluster configuration • embedded neo4j • graph • Graph Algorithm • high availability • iops • jmx • neo4j 2.3

Finding the Shortest Path through the Park (with Graphs!)

By Neo4j Staff | August 19, 2013

As you may know by now, I like beer. A lot. Why else would I keep writing and talking about it? But there’s more to life than sweet beverages, and one of the things that I have been doing for… Learn More →

Keywords: Antwerp • graph • Graph Algorithm • graph database • graph technology • neo4j • obstacle race • orienteering • shortest path • spreadsheet

The top seven news in Neo4j 1.1

By Neo4j Staff | July 30, 2010

The Neo4j graph database release 1.1 has just arrived, so here’s some information on the new things that have been included. The main points are the additions of monitoring support, an event framework and a new traversal framework to the… Learn More →

Keywords: Graph Algorithm • graphdb • jmx • Neo4j 1.1 • neo4j.rb • nosql • release • social network

Social Networks in the Database: Using a Graph Database

By Neo4j Staff | September 15, 2009

Recently Lorenzo Alberton gave a talk on Trees In The Database where he showed the most-used approaches to storing trees in a relational database. Now he has moved on to an even more interesting topic with his article Graphs in… Learn More →

Keywords: collaborative filtering • Graph Algorithm • graph database • linkedin • neo4j • recommendation systems • relational database • social network • sql • transitive closure

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Tag Archives: Graph Algorithm