7 Quick Tips to Get More from the GDS Library [Tip Sheet]
By Jocelyn Hoppa
August 6, 2020 < 1 min read
Read this tip sheet to learn 7 more advanced tips to enhance your GDS Library experience and expand your data science the possibilities.
Explore: data analytics • data science • graph algorithms • graph data science • graph visualization
Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)
By Jocelyn Hoppa
July 14, 2020 5 mins read
Learn about the newest features in Neo4j Graph Data Science library 1.3 released, and discover why you need to upgrade from the old algorithm library.
Explore: centrality algorithms • community detection algorithm • data science • GDS library • graph algorithms • graph data science • graph embeddings • link prediction • multi-database • pathfinding algorithms
The Power of Graph Data Science: 5-Minute Interview with Alicia Frame
By David Penick
July 10, 2020 3 mins read
Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.
Explore: 5-minute interview • ai • artificial intelligence • data science • graph algorithms • graph data science • python
Improving Patient Outcomes with Graph Algorithms
By Allison Wu
June 24, 2020 15 mins read
Learn about how AstraZeneca visualized patient journeys, answered important questions about prescriptions and diagnoses, and improved patient outcomes.
Explore: betweenness algorithm • centrality algorithms • graph algorithms • graph modeling • graph technology • graphconnect • Healthcare • PageRank • patient journey • patient outcomes
Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science
By David Penick
June 8, 2020 2 mins read
Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: CPG • cypher • graph algorithms • graph-powered recommendation engines • hybrid scoring • Recommendation Engine • Recommendations • recommendations framework
Graph-Powered Recommendations: A Framework for Faster Development
By David Penick
June 1, 2020 3 mins read
Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: blog series • graph algorithms • graph database • graph powered recommendation • graph recommendation engine • Neo4j Recommendation Framework • Personalization • personalized recommendations • Recommendation Engine
Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 3 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 2 mins 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 12 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 5 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 5 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 7 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 6 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 14 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 7 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 9 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 3 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 6 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 12 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 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
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 5 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 19 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