The assorted graph database query languages include the likes of Gremlin, Cypher, and GQL and serve to unpack the information inside graphs. All databases need a way to talk with their clients, ...

The graph below shows the total number of publications each year in Query Optimization in Database Systems. References [1] Investigating Learning Join Order Optimization Strategies for Rule-based ...

Based on this schema, we defined queries that populate data into the graph and queries that retrieve data from the graph. Let’s look at a graph query that generates recommendations.

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues. ... pattern matching in graphs, join ordering and query optimization.

Give me control of a database query language, and I care not who makes its engine. The noticeable spike in interest in graph in the last year can be largely attributed to heavyweights such as ...

Global Graph Database Market Global Graph Database Market Dublin, Dec. 13, 2023 ... native graph databases are optimized for traversing complex relationships and performing graph-oriented queries.

In this talk, I shall introduce our ongoing works about the synergy of graph data management and graph machine learning in the context of graph neural network explainability and query answering. In ...

The Graph is a decentralized protocol for indexing and querying blockchain data. But it's more than just a protocol: The Graph also has an implementation, which is open source and uses GraphQL.

Query optimisation remains a critical discipline in database systems, underpinning the efficiency and responsiveness of data-driven applications. By selecting optimal execution plans, modern query ...