Project a graph
In the previous lesson, you learned the three-step iGo to glossary for graph data science (opens in a new tab)Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it. workflow: Project → Run → Write. You saw how this iFull definition for pattern (opens in a new tab)A graph structure written in Cypher, such as a node joined to another node by a relationship. enables fast, safe, iterative analysis by separating your source data from algorithmic operations.
This lesson focuses exclusively on Step 1: iFull definition for projection (opens in a new tab)An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds.—the foundation of all GDS work.
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