Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 2 mins read
Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: Big Data • blog • blog series • cypher • Cypher Query • graph algorithms • graph powered recommendation • Hadoop • Intelligent Recommendations Framework • Recommendation Engine
Neo4j Certified Professionals Now Get Access to Advanced-Level Virtual Training Sessions
By Jocelyn Hoppa
May 13, 2020 < 1 min read
Learn about getting access to eight, hands-on advanced-level virtual training sessions for Neo4j Certified Professionals, at no cost to you.
Explore: Advanced Training • cypher • data science • graph algorithms • Neo4j Certified Professionals • Neo4j Community
Practical Applications of Neo4j 4.0
By Jocelyn Hoppa
May 7, 2020 10 mins read
Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.
Explore: granular security • graph algorithms • graph database • GraphAware • GraphTour • Knowledge Graph • machine learning • multi-database • Neo4j 4.0 • Scalability
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 4 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
Neo4j Is in Bloom Everywhere This Spring
By Jocelyn Hoppa
April 30, 2020 4 mins read
Discover the benefits of the most recent update to Neo4j Bloom, a data visualization tool to help you explore data connections.
Explore: cypher • graph algorithms • graph data science • Neo4j 4.0 • Neo4j Aura • Neo4j Bloom • Neo4j Desktop
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 2 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
April 8, 2020 6 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
The Future of the Intelligent Application: Why Graph Technology Is Key
By Patrick Wall
March 2, 2020 5 mins read
Read the first installment in our series on the future of the intelligent application, which shows the emerging requirements for these applications.
Explore: centrality algorithms • graph algorithms • graph data science • graph database • intelligent applications
Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
By David Penick
February 14, 2020 4 mins read
In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.
Explore: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
Graphs to Fight Diabetes
By Corin Gainey
January 15, 2020 12 mins read
Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.
Explore: artificial intelligence • Big Data • Data Visualization • graph algorithms • graphconnect • Knowledge Graph • neo4j
This Week in Neo4j – Analyzing .NET Dependencies, Coloring a Sudoku Graph, Christmas Messages Graph, Making Graph Algorithms ‘Clique’
By Mark Needham
January 11, 2020 4 mins read
Check out this week’s TWIN4J for the latest happenings in the Neo4j community at large.
Explore: Christmas • GRANDstack • graph algorithms • GraphQL • Quick Graph • software dependency • Sudoku • twin4j
Neo4j Staff Predictions for 2020
By Jocelyn Hoppa
January 8, 2020 6 mins read
A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →
Explore: ai • data science • data supply chain • GQL • graph algorithms • Graph Analytics • graph feature engineering • graph technology • machine learning • ML
A *Decade* of Graphs: Neo4j’s Top 10 Biggest Moments of the 2010s
By Bryce Merkl Sasaki
December 31, 2019 8 mins read
Relive all the inspirational moments and groundbreaking announcements from the graph tech community in the last decade – from Neo4j 1.0 to GQL and more.
Explore: cypher • GQL • graph algorithms • graph query language • graphconnect • neo4j • Neo4j Aura • opencypher • Panama Papers • spring data neo4j
The Top 5 Neo4j Podcasts of 2019
By Bryce Merkl Sasaki
December 24, 2019 2 mins read
Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.
Explore: ai • data journalism • data science • graph algorithms • graph technology • Graphistania • information theory • machine learning • Neo4j Community • podcast
How to Make Small Talk with Your Boss About Music (With the Help of Graph-Based Recommendations)
By Jocelyn Hoppa
December 19, 2019 5 mins read
Learn how graph-based recommendations could be the key to not having an awkward elevator conversation ever with your boss.
Explore: collaborative filtering • cypher • data analysis • digital content • graph algorithms • graph-based recommendations • graphs • music recommendations • neo4j • Recommendations
Graph Theory Takes on the Opioid Epidemic
By Allison Wu
November 27, 2019 11 mins read
Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.
Explore: centrality • Connected Data • context • datacon • fraud • graph algorithms • graphconnect • Healthcare • opioid • opioid epidemic
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 7 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
This Week in Neo4j – Building Spatial Search Algorithms for Neo4j, Colruyt Data Science assignment, GR-R-ANDstack, Releases of APOC and Halin
By Mark Needham
November 23, 2019 4 mins read
Hi graph gang, In this week’s video from the NODES 2019 conference, Craig Taverner demonstrates a new library that we’ve been working on to prototype new spatial algorithms. Tomaz Bratanic builds a graph analytics pipeline to explore the transport system… Read more →
Explore: APOC • Cambridge Intelligence • GRANDstack • graph algorithms • Halin • neo4j spatial • NODES 2019 • Transportation • twin4j
A Conversation with Graphs
By Corin Gainey
November 20, 2019 16 mins read
Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 8 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Explore: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
This Week in Neo4j – Graphs, AI, and ML: Q&A with Alicia Frame, Finding prices with Neo4j, Building a Knowledge Graph
By Mark Needham
November 2, 2019 4 mins read
This week Wolfgang Hoeck teaches us how to build a knowledge graph from scratch, and we have new releases of the Graph Algorithms Library. Dr Alicia Frame is interviewed about Graphs, AI, and ML, Nathan Smith solves the market clearing… Read more →
Explore: bloodhound • Crowds • graph algorithms • GraphQL • Knowledge Graph • networks • Networks Crowds Markets • SSIS • twin4j
This Week in Neo4j – New Book: Fullstack GraphQL Applications with GRANDstack, Leveraging Graph Algorithms In Visualizations, Marketing Activities in Neo4j
By Mark Needham
October 26, 2019 4 mins read
Check out this week’s TWIN4J, in which Mark Needham wraps up the latest on the new book on full-stack GraphQL, graph algorithms and more.
Explore: datetime • fraud detection • GRANDstack • graph algorithms • malware analysis • neovis.js • Networks Crowds Markets • twin4j
This Week in Neo4j – NODES Preview: Data Science & Graph Algorithms, Graphing Brexit, Building a Chat Bot
By Mark Needham
September 28, 2019 4 mins read
This week we preview the Data Science and Graph Algorithms talks at the NODES 2019 conference and we do further analysis on the Brexit Graph. Max De Marzi starts a series of posts showing how to build a chat bot,… Read more →
Explore: Brexit • chat bot • cypher • data science • graph algorithms • Neo4j Community • NODES 2019 • Social Networks • twin4j
Faster, Smarter, Better: Optimizations for Neo4j Graph Algorithms
By Jocelyn Hoppa
September 23, 2019 6 mins read
Learn about the recent improvements made to the Neo4j Graph Algorithms library, including improved configuration and usability, as well as feature requests.
Explore: compute memory • Connected Components • cypher • data scientists • graph algorithms • label propagation • louvain • Neo4j Desktop • PageRank
NODES 2019: Announcing 52 Online Talks from Leading Graph Experts
By Jocelyn Hoppa
September 17, 2019 < 1 min read
Check out the full schedule of speakers for NODES 2019, with enriching talks on graph algorithms, Neo4j drier architecture, GRANDstack and so much more,
Explore: Autodesk • GRANDstack • graph algorithms • Neo4j Bolt • Neo4j Labs • Neo4j Online Developer Conference • NODES 2019 • PayPal • Under Armour