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Graph Data Science

Cypher projection

A Full 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. built from the rows a Full definition for Cypher (opens in a new tab)Neo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. query returns, so it can hold Full definition for node (opens in a new tab)A vertex in a graph. In a property graph it can carry labels and properties. and Full definition for relationship (opens in a new tab)A named, directed connection between two nodes. Every relationship has a type, a start node and an end node. that are derived rather than stored.

Example

People and the films they acted in.

cypher
MATCH (source:Person)-[:ACTED_IN]->(target:Movie)
WITH gds.graph.project('people-movies', source, target) AS g
RETURN g.graphName, g.nodeCount, g.relationshipCount

Every row the query returns puts its source node, its target node and a relationship between the two into the projection. A query returning a person and a genre, with only films between them in the database, would project a relationship from one to the other just the same.

Lessons that use this term

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

Analyze Graph Data with Python6 mentions

Graph Data Science in Practice8 mentions

  • The GDS WorkflowGDS Foundations-> Run -> Write workflow to any GDS analysis Create graph projections using Cypher projection syntax Run algorithms in different execution modes (stats, stream, mutate, write) Manage in-memory projections by7 mentions
  • Graph Projections and StructureGDS Foundationsmost basic Cypher projection command looks like1 mention

Aura Graph Analytics fundamentals7 mentions

  • Aura Graph Analytics workflowAura Graph Analytics in the Aura WorkspaceHow to project a graph from your AuraDB into the session with a Native or Cypher projection How to run an algorithm and write results back to AuraDB How to reuse a session across multiple3 mentions
  • Drive AGA from the neo4j driverFrom the Python clientCypher projection is the same one you used in Module 2 Lesson1 mention
  • Implicit sessionsAura Graph Analytics in the Aura WorkspaceCypher projection spins up an implicit session the same way — the config map goes in the fifth argument1 mention
  • The AGA workflow end to endFrom the Python clientyou need to transform the graph — like deriving new relationships — stick with Cypher projection2 mentions

Get started with Graph Data Science6 mentions

Related terms

native projection
A projection built by naming node labels and relationship types directly, without a Cypher query.6 shared lessons
Aura Graph Analytics session
A managed, temporary compute environment that holds a projection and runs algorithms against it.3 shared lessons
Aura Graph Analytics
The Aura service that runs graph algorithms in a separate session, with no plugin to install.5 shared lessons
projection
An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds.13 shared lessons
bipartite graph
A graph with two kinds of node, where every relationship joins one kind to the other and never two of the same kind.5 shared lessons
monopartite graph
A graph in which every node is the same kind of thing, so relationships connect like to like.4 shared lessons
degree centrality
A score for each node equal to its number of outgoing relationships.5 shared lessons
Yen's algorithm
An algorithm that finds the k cheapest routes between two nodes, rather than only the cheapest.2 shared lessons

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