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This Week in Neo4j – Drawing graphs with Arrows.app, GraphSAGE, Parsing & Importing XML

This week’s featured community member is Brandon Campbell.

Brandon is a Principal Software Engineer at Northrop Grumman. He describes himself as an engineer & graph architect by day and a hopeless romantic by night, which is a complicated way of saying that he likes to make up stories and colour things.

Brandon has been part of the Neo4j community for a couple of years and presented Ten to Dine: Building Possibility Spaces with Neo4j and ReactJS at the NODES 2019 virtual conference. In this talk he demonstrated how a database becomes a universe using a combination of Neo4j, ReactJS, and the sultry-but-familiar backdrop of a noir murder mystery.

In 2020 Brandon presented Slaying Monsters in the Department of Defense with Graph Analysis at the Neo4j Connections: Graphs in Government event. His talk was so popular that it also featured in the Best of 2020 Sessions as well.

On behalf of the Neo4j community, thanks for your work Brandon

Connect with Brandon on LinkedIn

Our video this week is from Will Lyon’s Building A GRANDstack Podcast App live stream.

In the latest episode, Will explores how to parse and import XML data into Neo4j as part of a feature to add podcast episodes and playlists to the GraphQL API. You can also read more in Will’s blog post.

Alistair Jones arrows graph drawing tool is the starting point on many people’s graph journey, and now there’s a brand new version – arrows.app!.

arrows.app improves on the graph drawing features from the original arrows, making it easy to drag nodes around and line them up and apply different styling to your graph. You can also save your graphs to Google Drive and export them in PNG, SVG, JSON, of Cypher format.

Read the blog post

Antonin Smid continued the blog post series showing how to analyse The MET Art Collection, using GraphAware Hume.

In part 2, we use Hume Visualisations to explore tag’s context, create Hume Actions to analyse the donors, and use the Graph Data Science Library to suggest similar paintings.

Read the blog post

• • Elaine Rosenberg announced 5 new 2-hour long online training courses that together form the Introduction to Neo4j 4.0 course.
  • Sergey Goncharov describes his team’s experience adding Neo4j into Outbrain’s WorkFlowEngine (WFE) service. WFE is responsible for orchestrating hundreds of data-oriented jobs run every hour.
  • Liza Shkirando announced the release of Neo4j Desktop 1.4.0, which has a new user interface to match the mental model of a file system.
  • Chris Skardon released version 1.4.0 of the Neo4j Power BI connector, which now has multi-line Cypher support.
  • Richard Müller shared slides from the Graph-Based Performance Analysis at System- and Application-Level talk, which was presented at the 11th Symposium on Software Performance.

In Tomaz Bratanic’s latest blog post, he shows how to train the GraphSAGE convolutional graph neural network and integrate it into your machine learning workflow to improve downstream classification model accuracy.

Read the blog post

My favourite tweet this week was by Nathan Smith:

@Neo4j Bloom keeps becoming a more useful data science tool. I love the new rule in 1.5.0 to automatically color nodes by distinct property value. Thanks to the team for your hard work!

— Nathan Smith (@nsmith_piano) January 7, 2021

Don’t forget to RT if you liked it too!