# Misc. graph procedures
<a name="custom-algorithms"></a>

 The miscellaneous graph procedures can be ran on your graphs to give you insight into your graphs and their metrics. 

 Property Graph Information (`graph.pg_info`) summarizes some of the basic metrics of the graph, such as the number of vertices, the number of edges, the number of edge properties, the number of vertex properties, the number of edge labels, and the number of vertex labels. 

 The `neptune.graph.pg_schema()` procedure provides a comprehensive overview of the graph structure. It extracts and summarizes the current schema of a Neptune Analytics graph, i.e., customers can observe the property names and types that appear on vertices and edges of particular labels within the graph. The procedure is designed for use cases such as: schema visualization, integration with third-party applications, and inclusion in open-source tools. 

 The `neptune.algo.degreeDistribution()` analyzes the structural characteristics of a graph. It calculates the frequency distribution of vertex degrees across the entire network and provides basic statistics of the distribution. 

**Topics**
+ [Property graph information](custom-algorithms-property-graph.md)
+ [Property graph schema](custom-algorithms-property-graph-schema.md)
+ [.degreeDistribution algorithm](degreeDistribution.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Neptune Analytics. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query neptune-analytics` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).