Labeled Graph Sketches
Chunyao Song, Tingjian Ge · 2018
Nowadays, a graph serves as a fundamental data structure for many applications. As graph edges stream in, users are often only interested in the recent data. In data exploration, how to store and process such massive amounts of graph stream data becomes a significant problem. As vertex and edge attributes are often referred to as labels, we propose a labeled graph sketch that stores real-time graph structural information in sublinear space and supports queries of diverse types. This sketch also supports sliding window queries. We conduct experiments on three real-world datasets, comparing with a state-of-the-art method to show the superiority of our sketch.