Announcing: Graph-Native Machine Learning in Neo4j!
By Jocelyn Hoppa
October 21, 2020 6 mins read
Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.
Explore: Bloom • graph algorithms • graph data science • graph embedding • graph-native machine learning • GraphSAGE • Knowledge Graph • ML predictions
This Week in Neo4j – Neo4j 4.0 procedure examples, Connecting your React app to Neo4j with React Hooks, New Graph Algorithms Training
By Mark Needham
October 17, 2020 4 mins read
Hi everyone, The NODES 2020 conference is almost upon us. It all gets underway from 8am Eastern Time on Tuesday October 20th 2020. Hope to (virtually) see you there! We’ve just finished the virtual training sessions for Neo4j Certified Professionals,… Read more →
Explore: graalvm • graph algorithms • graph databases for dummies • GraphAcademy • nodes 2020 • React • twin4j • use-neo4j
New GraphAcademy Course: Introduction to Graph Algorithms in Neo4j 4.0
By Jocelyn Hoppa
October 13, 2020 3 mins read
Check out the details of our new GraphAcademy course, Introduction to Graph Algorithms in Neo4j 4.0, and enroll today!
Explore: Data Scientist • graph algorithms • graph data science • graph data science playground • GraphAcademy
Insider Guide to Graph Data Science: First, a Brief Overview
By Jocelyn Hoppa
October 12, 2020 6 mins read
Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.
Explore: graph algorithms • Graph Analytics • graph data science • graph embeddings • graph export • in-memory graph • machine learning
This Week in Neo4j – Data Import using RxJS, GOV.UK Knowledge Graph, Analyzing ArXiv data
By Mark Needham
October 3, 2020 4 mins read
Hey graphistas, I hope your week’s going well. I’ve been playing around with the GDSL’s Pregel API, which provides a vertex-centric computation model for writing graph algorithms. I’ll write something up on my experiments soon. We’re getting close to the… Read more →
Explore: ArXiV • gov.uk • graph algorithms • icij • Life Sciences • rxjs • twin4j
Stopping COVID-19 related crime using graphical data
By Fintech Bulletin - September 23, 2020
Explore: fraud detection • fraud monitoring • graph algorithms • graph database • Graph Database Technology • graph technology • Healthcare • healthcare fraud detection
Building Spatial Search Algorithms for Neo4j
By Corin Gainey
September 15, 2020 3 mins read
Craig Taverner, Senior Software Engineer at Neo4j, presents building Spatial Search Algorithms based on his work with Stephan van der Lind.
Explore: Connected Data • cypher • graph algorithms • graph database • neo4j • NODES 2019 • openstreemaps • shortestpath • weightedpath
This Week in Neo4j – Getting started with Neo4j, Gatsby, and GraphQL, Slack Knowledge Graph, Changes in direction with the Traversal API
By Mark Needham
September 12, 2020 3 mins read
Hi graph gang, In this week’s video, Will Lyon shows us how to get started with Neo4j, Gatsby, and GraphQL. Max De Marzi shows how to solve a tricky problem using the Traversal API, Adam Cowley builds a Knowledge Graph… Read more →
Explore: gatsby • graph algorithms • graph data science • GraphQL • Knowledge Graph • twin4j
Combating Money Laundering: AML Graph Algorithms
By Deb Cameron
September 8, 2020 5 mins read
Read blog five in this six-part series on fighting money laundering with graph technology; this week we focus on useful AML graph algorithms.
Explore: AML • graph algorithms • money laundering • payment chains • predictive analytics
Heading off corona fraud
By Profesional Security - September 3, 2020
Explore: graph algorithms • graph database • neo4j • relational database
Planet R&D: 5-Minute Interview with Fredrik Wikholm
By Deb Cameron
September 4, 2020 3 mins read
Check out this 5-minute interview on Planethon’s mission: planet R&D and providing a bridge between Earth science at large and business.
Explore: earth science • graph algorithms • graph data science • Neo4j Innovation Lab • sustainability
Combating Money Laundering: Sprints with Money Queries
By David Penick
August 31, 2020 2 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: AML • anti-money laundering • Bloom • cypher • graph algorithms • graph data science • money queries
Combating Money Laundering: Enterprise AML Technology
By Deb Cameron
August 24, 2020 5 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: aml technology • anti-money laundering • financial crime • graph algorithms
Bringing Sustainability Science to Life: 5-Minute Interview with Carina Johed
By David Penick
August 21, 2020 3 mins read
Check out this week’s 5-Minute Interview with Carina Johed, CTO at Planethon, about bringing ecological sustainability to life.
Explore: 5-minute interview • ecological sustainability • graph algorithms • graph data science • scientific research • sustainability
Combating Money Laundering: AML Compliance Program Design
By David Penick
August 17, 2020 < 1 min read
Read the second blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.
Explore: AI / Machine Learning • AML • aml compliance • graph algorithms • graph data science • money laundering • money laundering detection
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