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
DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 10 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
This Week in Neo4j – NODES 2019 Preview: Modeling, Network analysis of Prisoners of Zenda, Building a Questionnaire with Neo4j
By Mark Needham
September 7, 2019 4 mins read
Hello everybody! I’m back after a few weeks off. Thanks to Jennifer and Will for writing TWIN4j in my absence, I enjoyed reading their take on the week’s graph related news. This week we preview the modeling talks at the… Read more →
Explore: cypher • graph algorithms • Network Science • NODES 2019 • RX • spring data neo4j • twin4j
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 3 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 – New Data Science Online Courses, Finding Fraud, Using Neo4j With Laravel, New NSMNTX Release, Graph Algorithms From OSCON, and More!
By Michael Hunger, Developer Relations
August 23, 2019 6 mins read
Check out this TWIN4j for the latest happenings in Neo4j this week, such as the Enterprise Edition 4.0 Milestone testing and more.
Explore: AI / Machine Learning • data science • GRANDstack • graph algorithms • GraphQL • PHP • twin4j
Announcing Data Science with Neo4j And Applied Graph Algorithms Online Training Courses
By Mark Needham
August 22, 2019 2 mins read
Hot on the heels of the recently revamped Intro to Neo4j and Neo4j Administration training courses, we’re happy to announce the launch of two new Neo4j Online courses: Data Science with Neo4j and Applied Graph Algorithms.
Explore: AI / Machine Learning • data science • graph algorithms • Online Training
AI & Graph Technology: Connections Improve Accuracy
By David Penick
August 19, 2019 2 mins read
Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.
Explore: AI / Machine Learning • connected features • graph algorithms • Graph Analytics • graph database • graph platform • Knowledge Graph • machine learning • neo4j • Neo4j Graph Platform
This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
By Michael Hunger, Developer Relations
August 17, 2019 5 mins read
Check out this TWIN4j for the latest happenings in Neo4j this week, such as the Enterprise Edition 4.0 Milestone testing and more.
Explore: cancer research • graph algorithms • milestone release • twin4j
