Graph Algorithms for Cybersecurity: A Picture Is Worth 1,000 Rows
By Enzo
May 27, 2022 13 mins read
Learn how cybersecurity firm Uplevel uses graph algorithms and analytics to detect malicious patterns and prevent cyberattacks.
Explore: alerts • Analytics • centrality • cluster • community detection • Cyberattacks • cybersecurity • data science • graph algorithms • graph database
Éthique Des Algorithmes, Quelle Sensibilisation Pour Les Élèves?
By intercdi - February 3, 2022
Explore: ethics • graph algorithms • Graph Theory
Graph Data Science: The Secret to Accelerating Innovation with AI/ML
By Enzo
January 26, 2022 14 mins read
Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.
Explore: ai • artificial intelligence • GDS • graph algorithms • graph data science • machine learning • ML • unsupervised ml
Evolving an Enterprise with Graph Technology
By Enzo
December 9, 2021 8 mins read
Find out how Hari Nair from Dell Technologies evolved their enterprise using connected data and graph technology.
Explore: Connected Data • Dell Technologies • Enterprise • evolution • graph algorithms • graph technology
This Week in Neo4j – Twitch, Stackoverflow, Masterclass, Workshop
By Max Andersson
October 15, 2021 6 mins read
Hello, everyone! ? Is it just me or is this month getting spookier and spookier by the day? I’m sure it’s just me, but it still doesn’t feel like I’m the only one who’s been spooked this month. At least… Read more →
Explore: Connected Data • data science • Data Visualization • graph algorithms • knowledge graphs • machine learning • mathematics • ML • Neo4j Aura • spark
This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
By Max Andersson
October 9, 2021 4 mins read
Hello, everyone! As we begin a new quarter – and enter the spookiest month of the year – Twin4j brings you both tricks and treats from the past week in the world of Neo4j. In this issue, we will see… Read more →
Explore: Connected Data • data science • Data Visualization • graph algorithms • knowledge graphs • machine learning • mathematics • ML • Neo4j Aura • spark
Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA
By Enzo
October 8, 2021 14 mins read
Check out how David Meza from NASA combined knowledge graph and graph algorithms to find hidden skills within the organization.
Explore: Connected Data • graph algorithms • graph data science • hr • Knowledge Graph • nasa • skills
This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data
By Elaine Rosenberg
October 2, 2021 6 mins read
Hello, everyone! In this issue, we’re featuring Alexios Pantavos, a developer who has worked tirelessly to help other Neo4j Community members. The folks at Graphlytic published a video tutorial that shows you how to define rules for mapping styles with… Read more →
Explore: API • collatz conjecture • data science • Data Visualization • endpoints • graph algorithms • graphileon • graphlytic • hashtag • Kafka
This Week in Neo4j – Power BI, Mobile Recommendations, Policy Base Service Authorization, Graph Algorithms Book Review, Training Week, Knowledge Graph Browser
By Elaine Rosenberg
September 11, 2021 7 mins read
Back to work/school! I’m back from time off with the family and I assume so are many of you. Hope you had time to recharge, disconnect, and meet some real people for a change. This week I have a lot… Read more →
Explore: android • authorization • Bloom • book review • charts • China • Data Visualization • docker • flights • graph algorithms
Breaking Artificial Intelligence’s Hidden Glass Ceiling
By IT for CEOs - July 7, 2021
Explore: ai • artificial intelligence • data • graph algorithms • Graph Analytics • Scalability
Neo4j Graph Data Science Library 1.6: Fastest Path to Production
By Enzo
June 2, 2021 4 mins read
Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.
Explore: Analytics • GDS • GDS library • graph algorithms • machine learning • ML • neo4j graph data science • supervised ml
This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning
By Elaine Rosenberg
May 15, 2021 3 mins read
Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Ümit Kaan Usta has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit.… Read more →
Explore: Analytics • application architecture • corporate knowledge • cypher • Cypher Query • Cypher query tuning • data modeling • fraud analysis • graph algorithms • graph embedding
Graphs for Artificial Intelligence and Machine Learning
By Enzo
February 18, 2021 9 mins read
Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.
Explore: ai • artificial intelligence • graph algorithms • graph data science • Graph Search • Graph Theory • intelligent applications • machine learning • ML • Recommendations
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
Announcing the 2020 Neo4j Graphie Award Winners
By Jocelyn Hoppa
December 8, 2020 4 mins read
Check out this year’s Neo4j Graphie Award winners – an annual award given to innovative projects implementing a Neo4j graph database.
Explore: graph algorithms • graph community • graph technology • Neo4j Graphies
Mit Graph Algorithmen & ML Vorhersagen treffen
By IT Finanzmagazin - December 4, 2020
Explore: graph algorithms • Graph Database Technology • machine learning • predictive analysis
Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction
By Jocelyn Hoppa
November 25, 2020 2 mins read
Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.
Explore: Data Scientist • graph algorithms • graph data science • GraphAcademy • link prediction • machine learning
#GraphCast: Graph Data Science Library
By Jocelyn Hoppa
October 23, 2020 < 1 min read
Check out this week’s #GraphCast, featuring Mark Needham talking about the basics and benefits of the Neo4j Graph Data Science Library.
Explore: data science • graph algorithms • graph data science library • GraphCast
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