Mention graph-data-science in Pipeline and Tools

Author: JohT

README.md

@@ -126,6 +126,7 @@ The [Code Structure Analysis Pipeline](./.github/workflows/internal-java-code-an
 - Setup [jQAssistant](https://jqassistant.github.io/jqassistant/current) for Java and [Typescript](https://github.com/jqassistant-plugin/jqassistant-typescript-plugin) analysis ([analysis.sh](./scripts/analysis/analyze.sh))
 - Start [Neo4j](https://neo4j.com) Graph Database ([analysis.sh](./scripts/analysis/analyze.sh))
 - Generate CSV Reports [scripts/reports](./scripts/reports) using the command line JSON parser [jq](https://jqlang.github.io/jq)
+- Uses [Neo4j Graph Data Science](https://neo4j.com/product/graph-data-science) for community detection, centrality, similarity, node embeddings and topological sort ([analysis.sh](./scripts/analysis/analyze.sh))
 - Generate [Jupyter Notebook](https://jupyter.org) reports using these libraries specified in the [environment.yml](./jupyter/environment.yml):
   - [Python](https://www.python.org)
   - [jupyter](https://jupyter.org)