# Get excited - GDS 1.7 is now GA!

**URL:** <https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829>\
**Category:** Graph Data Science / Graph Analytics\
**Created:** [September 23, 2021, 9:40pm UTC](https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829 "2021-09-23T21:40:42Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![alicia\_frame1](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/alicia_frame1/32/6998_2.png) [@alicia\_frame1](https://community.neo4j.com/u/alicia_frame1)\
**Post date:** [September 23, 2021, 9:40pm UTC](https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829/1 "2021-09-23T21:40:42Z")

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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](https://neo4j.com/docs/graph-data-science/1.7/algorithms/ml-models/linkprediction-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,](https://neo4j.com/docs/graph-data-science/1.7/graph-catalog-export-ops/#_example_with_additional_node_properties) from the underlying database.
- Experimental support for [querying the in-memory graph with Cypher](https://neo4j.com/docs/graph-data-science/1.7/management-ops/create-cypher-db/)
- New Algorithm: [Approximate Maximum K-Cut](https://neo4j.com/docs/graph-data-science/1.7/algorithms/alpha/approx-max-k-cut/)
- To allow users better ability to handle multiple concurrent users, we’ve added a [system monitoring procedure](https://neo4j.com/docs/graph-data-science/1.7/common-usage/monitoring-system/), gds.alpha.systemMonitor, to provide an overview of the system's workload and available resources.
- [Progress logging](https://neo4j.com/docs/graph-data-science/1.7/common-usage/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](https://neo4j.com/blog/whats-new-with-graph-data-science-gds-1-7-release/)

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**Author:** ![skerr](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/skerr/32/7308_2.png) [@skerr](https://community.neo4j.com/u/skerr)\
**Post date:** [September 24, 2021, 12:10am UTC](https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829/2 "2021-09-24T00:10:26Z")

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

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

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**Author:** ![carib](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/carib/32/21301_2.png) [@carib](https://community.neo4j.com/u/carib)\
**Post date:** [September 24, 2021, 12:13am UTC](https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829/3 "2021-09-24T00:13:55Z")

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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!

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**Author:** ![alicia\_frame1](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/alicia_frame1/32/6998_2.png) [@alicia\_frame1](https://community.neo4j.com/u/alicia_frame1)\
**Post date:** [September 24, 2021, 11:56pm UTC](https://community.neo4j.com/t/get-excited-gds-1-7-is-now-ga/44829/4 "2021-09-24T23:56:40Z")

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Good catch - I just updated the post 🙂