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Explore an innovative approach to interactive Graph Pattern Matching (GPM) queries at scale in this conference talk from USENIX ATC '23. Dive into the GLogS system, which addresses key challenges in performance, usability, and scalability for large-scale graph processing. Learn how GLogS enables users to submit declarative queries interactively, automatically computes optimal execution plans, and leverages distributed dataflow engines for efficient processing. Discover the system's advantages over alternatives like Neo4j and TigerGraph, including superior performance and automatic optimization capabilities. Gain insights into the importance of interactive GPM in extracting valuable information from large graphs and understand how GLogS tackles the complexities of this emerging field.
