Neo4J Releases Graph Data Science Library, Look For New Updates

A graph database dedicated to link prediction with advanced features. The main goal is to make the graph data science process simple, approachable, and flawless.

Graph database platform Neo4j has released an updated version of its Graph Data Science Library — GDS 1.7. It adds machine learning pipelines for predicting graph native links. 

GDS 1.7 placed a premium on making graph data science accessible, easy, and foolproof. No more worrying about ensuring that you have the correct features in your input data when creating new predictions or about whether or not you followed the correct methods for splitting and generating your features to avoid data leakage.

In practice, this enables the construction of a pipeline by specifying the node and link characteristics and how the data must be separated. Hence, it’s easier than ever to get from raw data to a highly predictive model with certainty that you haven’t mistakenly miss-sampled your edges, distorted your data, or spilt information using the new link prediction pipelines. 


Sign up for your weekly dose of what's up in emerging technology.

Similarly, the new progress logging processes allow you to rapidly check on long-running jobs and see how far they have progressed and how long they have been running.

Finally, system monitoring is a new enterprise feature that takes observability to the next level: a simple command that shows how your team uses shared resources. You can rapidly examine the amount of available memory and threads and see active procedures and their progress.

More Great AIM Stories

Dr. Nivash Jeevanandam
Nivash holds a doctorate in information technology and has been a research associate at a university and a development engineer in the IT industry. Data science and machine learning excite him.

Our Upcoming Events

Conference, in-person (Bangalore)
Machine Learning Developers Summit (MLDS) 2023
19-20th Jan, 2023

Conference, in-person (Bangalore)
Rising 2023 | Women in Tech Conference
16-17th Mar, 2023

Conference, in-person (Bangalore)
Data Engineering Summit (DES) 2023
27-28th Apr, 2023

Conference, in-person (Bangalore)
MachineCon 2023
23rd Jun, 2023

Conference, in-person (Bangalore)
Cypher 2023
20-22nd Sep, 2023

3 Ways to Join our Community

Whatsapp group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our newsletter

Get the latest updates from AIM