This Week in Neo4j: NFTs, Extension for Liquibase, Visualizations in Jupyter, CSV Mapping Editor, and More

This week’s featured piece is about the CSV mapping editor, one of Kineviz GraphXR’s most powerful tools that is especially handy if you’re just getting started with Neo4j. In the video, you’ll see a workflow that takes CSV data into GraphXR and writes it to a Neo4j database. Set up and start a Neo4j database, map CSV data to the graph, add new properties with Transforms, and write the graph to Neo4j. Check it out.
Cheers, Yolande Poirier P.S.: We are getting super close to announcing the NODES agenda. Can’t wait to share the great talks from our amazing community speakers! NODES is on November 16 and 17, 2022. Save your spot.
Gal is an Applied Research Team Lead at Accenture Israel Cyber R&D Lab. He is an experienced data scientist who loves turning data into actions and building cutting-edge technologies across industries, especially in the cybersecurity space. His recent research projects focused on knowledge graphs, graph data science algorithms, and process-mining techniques to infer the real impact of cyber attacks on organizations. Gal enjoys presenting at conferences and is a Neo4j Ninja. Follow him on LinkedIn.
NEO4J and LIQUIBASE: Migrations in a Schemaless World
Check out this tech talk presented by Florent Biville from Neo4j and hosted by Liquibase. Learn about the history of the Neo4j extension for Liquibase and see it in action in a demo.
DATABASE: I Built a Neo4j Graph DB to Show NFT Data
What interesting patterns of NFT collections can be exposed by knowledge graphs? In this post, Luke Cassady-Dorion graphs the world of NFT ownership. This fully-coded Node.js project queries NFT data with the Alchemy NFT API and uses Neo4j to display the data.
NEO4J LIVE: Easy Graph Visualizations for Data Scientists with yworks
Sebastian Müller shows you free tools for the easy visualization of your Neo4j graph database contents inside Jupyter notebooks. You’ll learn how to use sophisticated automatic graph layouts and advanced styling options to gain quicker insights into your data.
NFT Collections: Difftastic, the Fantastic Diff
In this blog, Wilfred Hughes explains how he developed Difftastic, a structural diff tool that compares files based on their syntax and supports over 20 programming languages. Internally, Difftastic represents diffing as a shortest path problem on a directed acyclic graph.
DATA: Import Neo4j Data in Gephi
With this plug-in by Benoit Simard you can import Neo4j data in Gephi by selecting nodes and relationships types, or by defining two Cypher queries, one for nodes and the other for edges.
TWEET OF THE WEEK: @binocularity
Don’t forget to retweet if you like it!
… Of Special Interest
    • ICS Packet Capture Visualizer README was updated on Github. It is now a mini-lab for the use of iPthyon, PyShark, and Neo4j. Any recommendations, improvements, and tool progressions are welcomed on the Github project.