Michael Hunger shows us how to load dump files into Neo4j AuraDB from different sources, and we also have an in-depth article about Neo4j performance architecture, as well as some tuning tricks by Benjamin Guegan.
Featured Community Member: Sixing Huang
Sixing Huang – This Week’s Featured Community Member
Thank you so much Sixing for all your amazing articles! Please keep them coming, and good luck on your well-advanced journey into the analytics space.
New Features in GDS 1.7.0Neo4j’s GDS 1.7 release introduces machine learning pipelines for graph native link prediction. Link prediction is valuable, but we heard you when you said it was hard! In this release, we made things easier for you by adding the ability to define link prediction pipelines. A pipeline lets you define all the steps you want to take to build your predictive model, assembles them into a workflow, and then enables you to apply those defined steps to data to train your best model.
Travel Pattern Discovery of Digital Nomads
New Course: Graph Data Modeling
This week, we are happy to announce our new course: Graph Data Modeling. Perhaps you had some experience with Cypher or have already taken our Cypher fundamentals course, but you are not sure how to use it to build a graph database model. Then this course is for you.
The course covers the concepts of graph modeling and how to refactor an already existing graph database model.
Neo4j Performance Architecture and Tuning
Learn About Performance Architecture
Creating Clinical Knowledge Graph with Spark NLP & Neo4j
Spark NLP is an open-source NLP library under the hood of Apache Spark and Spark ML. It provides a unified solution for all NLP needs by an easy API to integrate with ML Pipelines.
Learn More About Spark NLP & Neo4j
Getting Dumps and Example Projects Into AuraDB Free
Michael Hunger will show you how to get your dump files loaded into AuraDB from Sandbox, Neo4j desktop, or an example dataset in this blog post.
A Deep Dive into Neo4j Link Prediction Pipeline and FastRP Embedding Algorithm
Learn About Link Predictions
Tweet of the Week
600 journalists & the @ICIJorg continue to rely on Neo4j for the world’s largest-ever journalistic collaboration — the #PandoraPapers. https://t.co/LeKFDHutij ? Please join us in congratulating the valued contributors and investigative journalists. pic.twitter.com/DSlMc5n7Gn— Neo4j (@neo4j) October 5, 2021