Lynx Analytics Releases Open Source Graph Data Science Platform LynxKite 4.0

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  • Integrating relationship information into machine learning models, graphs are a key component in numerous AI applications
  • LynxKite makes Graph AI more accessible to enterprises and citizen data scientists

Lynx Analytics has announced the open source release of its complete Graph Data Science Platform, LynxKite 4.0. It said that Graph AI is the next frontier of machine learning as advocated by leading machine learning experts. It added that by integrating relationship information into machine learning models, graphs are a key component in numerous AI applications. These include network-based attribute prediction, fraud detection, product recommendation, infrastructure, and operations optimization, drug discovery.

Graph AI more accessible to enterprises

Gyorgy Lajtai, Lynx Analytics’ CEO said, “After having been conceived and developed by professors from prestigious the US, European and Asian universities, and a top-notch engineering team, LynxKite has already been deployed at a number of our enterprise customers and across many industries. It’s also been tested and used extensively by our data scientist team. With increasing requests from our clients and users, we are pleased to open source LynxKite to benefit the larger data science community.”

The company also said that until now, building Graph AI solutions has been a highly technical process that involved numerous skills, tools, and coding efforts. This has led to the creation of a high barrier to entry and slow adoption of Graph Analytics. It added that LynxKite removes these obstacles and makes Graph AI more accessible to enterprises and citizen data scientists.

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