Neo4j Graph Tech Weekly

Neo4j Graph Tech Weekly

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This Week in Neo4j: Big Data ETL, GNNs, Property Graph Data Models, Cypher Tutorial, and More

DATA SCIENCE: Enhancing Word Embedding With Graph Neural Networks

Tomaz Bratanic , Freelance Data Analyst and Engineer, demonstrates how graph neural networks capture and encode the relationships between data points and enhance document classification accuracy. In this tutorial, you will train two models to predict a Medium article’s tags.?


GRAPH: Describing a Property Graph Data Model

Application data models imply database schemas. So, how do you create a JSON schema for storing and transporting a property graph data model? Michael Simons describes the JSON Schema project that introspects the database it is called on and creates a JSON response that validates against a JSON schema.


NODES 2022: Neo4j With Docker and Docker Compose Deep Dive

In this NODES 2022 presentation, Christophe Willemsen goes over using Neo4j with Docker and Docker compose, presenting tips and tricks on basic usage, an explanation of the Docker image itself, backups, and restoring and building custom images extending the official Neo4j image.

CYPHER TUTORIAL: Getting Started With a Graph Database and Its Query Language

This is part 3 of Julian ?? West ’s 4-part series on graph databases and Neo4j. Take a look at this article or the entire series starting from part 1, “A revolution in modeling the real world,” to a full data-management solution in part 4, “Using Schema in Graph Databases”.”

DATA: Ingesting Big Data Into Neo4j

Check out this final part of @@Ebru Cucen and Fahran Wallace’s blog series, which discusses their experience ingesting 400 million nodes and a billion relationships into Neo4j.


DON'T MISS OUR NEW PODCAST EPISODE!

This is your chance to understand how far you can go with Graphs. Listen to the new podcast episode with William Lyon , Jason Koo , Alison Cossette , and Andreas Kollegger .


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#Neo4j #dataanalytics #datascience #graphdatabase #json #cypher #bogdata #docker #podcast

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