This paper presents GART, an in-memory system extended from hybrid transactional/analytical processing (HTAP) systems for hybrid transactional and graph analytical processing (HTGAP). GART should fulfill two unique goals not encountered by HTAP …
Interactive GPM (iGPM) is becoming increasingly important for data scientists to explore graphs in real life, where a series of graph pattern matching (GPM) queries are created and submitted in an interactive manner based on the insights provided by …
Graph pattern matching is one of the most fundamental problems in graph database and is associated with a wide spectrum of applications. Due to its computational intensiveness, researchers have primarily devoted their efforts to improving the …
To develop a graph pattern matching system in the distributed context, while gluing together the academic results of optimal join algorithms and industrial efforts of query language