This Week in Neo4j –Twitch, Stackoverflow, Masterclass, Workshop

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 →

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This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB

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 →

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Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA

Check out how David Meza from NASA combined knowledge graph and graph algorithms to find hidden skills within the organization.

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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

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 →

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This Week in Neo4j – Power BI, Mobile Recommendations, Policy Base Service Authorization, Graph Algorithms Book Review, Training Week, Knowledge Graph Browser

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 →

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Neo4j Graph Data Science Library 1.6: Fastest Path to Production

Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.

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This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning

Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Luc Michalski has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit. Dirk… Read more →

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Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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Graph Algorithms for Community Detection & Recommendations

Learn about graph algorithms for community detection and recommendations and further understand how to actually employ these algorithms in Neo4j.

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Announcing the 2020 Neo4j Graphie Award Winners

Check out this year’s Neo4j Graphie Award winners – an annual award given to innovative projects implementing a Neo4j graph database.

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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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#GraphCast: Graph Data Science Library

Check out this week’s #GraphCast, featuring Mark Needham talking about the basics and benefits of the Neo4j Graph Data Science Library.

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Announcing: Graph-Native Machine Learning in Neo4j!

Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.

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This Week in Neo4j – Neo4j 4.0 procedure examples, Connecting your React app to Neo4j with React Hooks, New Graph Algorithms Training

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 →

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New GraphAcademy Course: Introduction to Graph Algorithms in Neo4j 4.0

Check out the details of our new GraphAcademy course, Introduction to Graph Algorithms in Neo4j 4.0, and enroll today!

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Insider Guide to Graph Data Science: First, a Brief Overview

Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.

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This Week in Neo4j – Data Import using RxJS, GOV.UK Knowledge Graph, Analyzing ArXiv data

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 →

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Building Spatial Search Algorithms for Neo4j

Craig Taverner, Senior Software Engineer at Neo4j, presents building Spatial Search Algorithms based on his work with Stephan van der Lind.

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This Week in Neo4j – Getting started with Neo4j, Gatsby, and GraphQL, Slack Knowledge Graph, Changes in direction with the Traversal API

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 →

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Combating Money Laundering: AML Graph Algorithms

Read blog five in this six-part series on fighting money laundering with graph technology; this week we focus on useful AML graph algorithms.

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Heading off corona fraud

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Planet R&D: 5-Minute Interview with Fredrik Wikholm

Check out this 5-minute interview on Planethon’s mission: planet R&D and providing a bridge between Earth science at large and business.

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