## 2.1. Node-label and relationship-type projection

This chapter explains node-label and relationship-type projection in the Neo4j Graph Algorithms library.

 This is documentation for the Graph Algorithms Library, which has been deprecated by the Graph Data Science Library (GDS).

We can project the subgraph we want to run the algorithm on by using the label parameter to describe nodes, and relationship type to describe relationships.

The general call syntax is:

The following will run the algorithm for the label `NodeLabel` and relationship type `RelationshipType`

``CALL algo.<name>('NodeLabel', "RelationshipType", {config})``

For example, running the PageRank algorithm on DBpedia, which contains 11 million nodes and 116 million relationships:

The following will run the write version of the algorithm, storing results in the `pagerank` property:

``CALL algo.pageRank('Page','Link',{iterations:5, dampingFactor:0.85, write: true, writeProperty:'pagerank'});``

The following will run the streaming version of the algorithm:

``````CALL algo.pageRank.stream('Page','Link',{iterations:5, dampingFactor:0.85})
YIELD nodeId, score
RETURN algo.asNode(nodeId).title, score
ORDER BY score DESC LIMIT 10;``````

If we want to project a subgraph that includes all nodes and relationships in the underlying Neo4j graph, we can achieve this by passing `null` values for the label and relationship type:

The following will run the algorithm over all nodes and relationships:

``CALL algo.<name>(null, null)``

### 2.1.1. Huge graph projection

The default label and relationship type projection has a limitation of 2 billion nodes and 2 billion relationships, so if our project graph is bigger than this we need to use a huge graph projection. This can be enabled by setting `graph:'huge'` in the config.

The general call syntax is:

``CALL algo.<name>('NodeLabel', "RelationshipType", {graph: "huge"})``

For example, running the PageRank algorithm on DBpedia:

The following will run the write version of the algorithm, storing results in the `pagerank` property:

``CALL algo.pageRank('Page','Link',{iterations:5, dampingFactor:0.85, writeProperty:'pagerank',graph:'huge'});``

If we want to project a subgraph that includes all nodes and relationships in the underlying Neo4j graph, we can achieve this by passing `null` values for the label and relationship type:

The following will run the algorithm over all nodes and relationships:

``CALL algo.<name>(null, null, {graph: 'huge'})``