Graph projection
A graph projection is an in-memory representation of selected graph data prepared for algorithmic analysis.
Graph Algorithms for Data Science
A projected in-memory graph is an in-memory graph representation created from stored graph data for graph algorithm execution.
- How it is used
- Provides the in-memory input structure for Graph Data Science algorithms and lets several algorithms reuse one named graph.
- How deep it goes
- Explains native, Cypher, and filtered subgraph projections with parameters, trade-offs, properties, and cleanup procedures.
- Examples
- Demonstrates weighted retweet, hashtag-community, follower, and shared-audience network projections.
- What you can do after
- Operate/configure it by creating named graphs, selecting properties and orientations, filtering subgraphs, and releasing memory afterward.
Read how Graph Algorithms for Data Science explains graph projection →
Knowledge Graphs and LLMs in Action
A graph projection is an in-memory representation of selected graph data prepared for algorithmic analysis.
- How it is used
- Prepares selected graph data for GDS algorithms that evaluate connectivity, communities, centrality, or domain-specific paths.
- How deep it goes
- Explains selection, in-memory creation, relationship orientation, and downstream algorithms, but does not detail projection storage internals.
- Examples
- Uses protein–protein interaction and SNOMED ontology projections, including component analysis, community detection, and hub-node exclusion.
- What you can do after
- Apply it via Neo4j GDS to build focused in-memory graphs and run connectivity, community, or degree analyses.
Read how Knowledge Graphs and LLMs in Action explains graph projection →
Related concepts
- GDS libraryused by · The Neo4j Graph Data Science library is a software library providing graph algorithms, projections, and analytical workflows for graph data.
- native projectionproduced by · Native projection is a graph projection technique that selects nodes and relationships from Neo4j storage using node labels and relationship types without applying custom transformations during loading.
- mutate execution modeconfigured by · Mutate execution mode is a graph-algorithm execution mode that stores computed results in the projected in-memory graph.
- Cypher projectionproduced by · Cypher projection is a graph projection technique that uses Cypher queries to select, filter, and transform a graph subgraph before loading it into memory.
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