GraphAcademy

Graph Data Science

native projection

A projection built by naming node labels and relationship types directly, without a Cypher query.

Example

Two labels and one relationship type, named as arguments.

cypher
CALL gds.graph.project(
  'directors-graph',
  ['Director', 'Movie'],
  'DIRECTED'
)
YIELD nodeCount, relationshipCount
RETURN nodeCount, relationshipCount

Every (:Director) and (:Movie) node goes into the projection, along with every [:DIRECTED] relationship between them.

Lessons that use this term

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6 lessons use this term. Results are ordered by term density.

Graph Data Science in Practice7 mentions

  • The GDS WorkflowGDS FoundationsYou can create a projection of your graph using Cypher or Native projection7 mentions

Analyze Graph Data with Python2 mentions

Aura Graph Analytics fundamentals4 mentions

  • Aura Graph Analytics workflowAura Graph Analytics in the Aura WorkspaceNative projection is the fastest way to get a graph into the2 mentions
  • Implicit sessionsAura Graph Analytics in the Aura Workspacehere is derived, so a Native projection is the most performant projection1 mention
  • The AGA workflow end to endFrom the Python clientNative projection is the fastest way to create a graph projection — it scans labels and relationship types directly from AuraDB, skipping1 mention

Get started with Graph Data Science3 mentions

Related terms

Cypher projection
A projection built from the rows a Cypher query returns, so it can hold nodes and relationships that are derived rather than stored.6 shared lessons
Aura Graph Analytics session
A managed, temporary compute environment that holds a projection and runs algorithms against it.2 shared lessons
degree centrality
A score for each node equal to its number of outgoing relationships.4 shared lessons
implicit session
An Aura Graph Analytics session created together with its projection, in a single call.1 shared lesson
Aura Graph Analytics
The Aura service that runs graph algorithms in a separate session, with no plugin to install.2 shared lessons
AuraDS
The Aura product for data science workloads, with the Graph Data Science library installed.1 shared lesson
execution mode
How a GDS algorithm returns its results. One of stats, stream, mutate, write or estimate.1 shared lesson
projection
An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds.6 shared lessons

All glossary terms