LynxKite - The Complete Graph AI Platform
LynxKite is a powerful open-source analytics tool built by Lynx Analytics for very large graphs and other datasets. It effortlessly helps reveal hidden network properties and detects unknown clusters in otherwise dormant raw data.
How LynxKite is Being Used
Gene expression analysis to identify potential therapeutic targets
Automatically generate graphs that map to specific properties (e.g. protein to protein interactions)
Perform correlation analysis and simulate changes to understand impacts
Route optimization for transport and logistics companies
Make routing decisions
based on cost/benefits outcomes
Integrated Graph AI optimization function based on multiple parameters
Large-scale network planning for telecoms
Build and explore possible cable routes using third-party geo data
Advanced functions such as Prize Collecting Steiner Trees to determine optimal network layout
Product recommendation for upsell and cross-sell for e-commerce vendors
Leverage existing customer data and catalog
information
Perform affinity analysis to determine next-best
offer or action
From Graph Discovery to Visualization, To Graph Al: A One-Stop Shop
LynxKite helps analytics teams transform data into graphs and let users perform advanced analytics, regardless of their proficiency level with graphs and data science. It is the ideal tool for enterprises that want to experiment with Graph Al analytics, minimize the learning curve, and accelerate' proof of value.
Main Features
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Import data (from MB to TB) from a variety of sources by working directly with traditional data sources or graph databases
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Use algorithms from a large library of graph operations, including Graph AI operations
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Put together complex data processing pipelines where you can combine graph operations, classical data analysis operations, and machine learning
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Experiment with different approaches by discovering graphs and interpreting algorithm results at any step of the calculations, and tuning parameters
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Combine the benefits of a friendly "no code" GUI as well as coding via a powerful Python integration (code embedding, Python API, code generation)
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Scale to billions of edges thanks to the Apache Spark cluster computing engine and the NVIDIA cuGraph GPU-accelerated algorithm library