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[[introduction]]
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= Introduction
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:description: This chapter provides a brief introduction of the main concepts in the Neo4j Graph Data Science library.
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:keywords: alpha, beta, Production-quality, api tiers
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The Neo4j Graph Data Science (GDS) library provides efficiently implemented, parallel versions of common graph algorithms, exposed as Cypher procedures.
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Additionally, GDS includes machine learning pipelines to train predictive supervised models to solve graph problems, such as predicting missing relationships.
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