Preface
Data science today is a core component of many companies and organizations taking advantage of its predictive power to improve their products or better understand their customers. It is an ever-evolving field, still undergoing intense research. One of the most trending research areas is graph data science (GDS), or how representing data as a connected network can improve models.
Among the different tools on the market to work with graphs, Neo4j, a graph database, is popular among developers for its ability to build simple and evolving data models and query data easily with Cypher. For a few years now, it has also stood out as a leader in graph analytics, especially since the release of the first version of its GDS library, allowing you ...
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