A graph processing system built in collaboration with the University of Toronto that automatically fine-tunes configuration and synthesizes optimized components. It supports efficient updates at arbitrary granularity and is expanding to support mining anomalies and insights from streaming graph data.
Research Goal
Efficient execution of diverse workloads
