GAIA (former name, Pegasus) is a distributed data-parallel compute engine based on the cyclic dataflow computation model. GAIA serves as the computation engine, lying at the core of the GraphScope system. Users can construct the computation via a directed acyclic graph (DAG), and easily run the job on their laptop or even a distributed environment across a cluster of computers.
We develop GLogS system, allowing users to interactively submit queries using a declarative language, which will be compiled and automatically optimized, and eventually executed on the GAIA dataflow engine.
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 …
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