For example, if you wanted to find all the nodes that are connected to a particular node, you could express this as a graph pattern using GQL. Graph patterns are a way of specifying the structure of the graph data that you want to retrieve. One of the key advantages of GQL is its ability to express graph patterns. This makes it much easier for users to write queries and focus on the data analysis rather than the implementation details. GQL provides a declarative syntax that allows users to specify what they want to retrieve from the graph data, rather than how to retrieve it. The power of GQL lies in its ability to express complex queries on graph data with ease. Examples of graph data include social networks, transportation networks, and molecular structures. Graph data is a type of data that consists of nodes and edges, where nodes represent entities and edges represent the relationships between those entities. Graph Query Language (GQL) is a programming language designed specifically for querying and analyzing graph data.

Express graphql