There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge gr
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optim
As graph data becomes ubiquitous in modern computing, developing systems to efficiently process large graphs has gained increasing popularity. There are two maj
A comprehensive survey that clearly summarizes the key features and techniques developed in existing big graph systems. It aims to help readers get a systematic