Graph databases have emerged as a crucial technology for managing highly connected data, with applications ranging from social networks to logistics. Over the past few years, their adoption has been significantly driven by the inefficiencies of traditional relational databases in handling graph-like data structures. Graph databases excel in querying and representing complex relationships, enhanced by their flexibility and scalability. The latest research is heavily focused on improving query ...