Graph Algorithms for Community Detection & Recommendations
By Allison Wu
December 16, 2020 17 mins read
Learn about graph algorithms for community detection and recommendations and further understand how to actually employ these algorithms in Neo4j.
Explore: community detection • graph algorithms • graphconnect • Recommendations • Social Graph
Graphing Space and Time
By Allison Wu
December 4, 2019 6 mins read
Discover how the New York Presbyterian Hospital utilizes graph databases to combine time and space data and further comprehend patient data.
Explore: community detection • diseases • Graph Analytics • graphconnect • hospital • infections • patients • spatial data • time data • time-series data
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 9 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Explore: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 4 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Explore: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
This Week in Neo4j – NetSCAN community detection, Trending Activity Feeds Using GraphQL and Neo4j, Neo4j to Contentful in Elixir
By Mark Needham
September 1, 2018 4 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have the NetSCAN community detection algorithm, Neo4j to Contentful in Elixir, messaging features… Read more →
Explore: community detection • cypher • dating • discourse • GRANDstack • GraphQL • twin4j
Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics
By Bryce Merkl Sasaki
April 16, 2018 4 mins read
To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →
Explore: apache spark • APOC • breadth-first search • community detection • Connected Data • depth-first search • graph algorithms • Graph Analytics • GraphX • PageRank