Get excited - GDS 1.7 is now GA!

[alicia_frame1 (Alicia Frame)]

Our 1.7 release of GDS is now GA, and available on the download center, github, and desktop

The most exciting features in this release include:

• Introduced Link Prediction Pipelines to make it easier to define and calculate features, split your graph, and make predictions.
• Introduced support for exporting additional node properties, including strings, from the underlying database.
• Experimental support for querying the in-memory graph with Cypher
• New Algorithm: Approximate Maximum K-Cut
• To allow users better ability to handle multiple concurrent users, we’ve added a system monitoring procedure, gds.alpha.systemMonitor, to provide an overview of the system's workload and available resources.
• Progress logging is now turned on by default and has been improved from our last release - use gds.beta.listProgress

If you want to learn more, check out our release blog: What’s New with Graph Data Science: GDS 1.7 Release - Neo4j Graph Data Platform

[skerr]

Hey Alicia: Neo4j documentation still has 1.7 "preview" identification.

Thanks for listening to GDSL users and continuing to expand the GDSL!

[carib]

Can you please share some graph data science business applications with IT data? I see in the Neo4j sandbox a data set on IT data, but there are no relevant graph data science applications to go with it.

Thanks!

[alicia_frame1 (Alicia Frame)]

Good catch - I just updated the post