Graph pattern matching is a technique widely used in various fields such as protein structure analysis, social group querying, and expert localization. This technique involves finding matching ...

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

Example Project for the SQL Server 2017 Graph Database. - bytefish/SqlServer2017GraphDatabase. ... You can express pattern matching and multi-hop navigation ... to find out, the Percentage of Flights ...

This repository is an attempt to implement the Graph Query Language (GQL) and especially its Graph Pattern Matching Language (GPML) part from scratch. Disclaimer: The undertaking is, for the time ...

To use the LIKE operator in SQL, you need to write a condition in the WHERE clause of your query, using the syntax: column LIKE pattern. For example, if you want to find all the customers whose ...

Graph analysis has emerged as a powerful method for data scientists to represent, integrate, query, and explore heterogeneous data sources. As a result, graph data management and mining became a ...

SQL deals with tables and sets, so its machinery is geared up for that. GQL code deals with graph so the machinery works on pattern matching and path expressions. Having said that, if you're someone ...

NEW PRODUCT ANALYSIS: Unlike other graph databases that delve two to three levels deep into the connected data, TigerGraph's pattern analytics is tuned to be efficient and tractable with the ...