We provide a comprehensive overview of current approaches and systems for combining graphs and time series data. We categorize existing systems into four architectural categories and analyze how these systems meet different requirements and exhibit distinct implementation characteristics to support both data types in a unified manner. Our overview aims to help readers understand and evaluate current options and trade-offs, such as the degree of cross-model integration, maturity, and openness.

翻译：本文全面综述了当前融合图与时序数据的方法与系统。我们将现有系统归纳为四种架构类别，并分析这些系统如何满足不同需求、展现何种实现特性以统一支持两种数据类型。本综述旨在帮助读者理解并评估当前方案及其权衡因素，例如跨模型集成程度、系统成熟度与开放性。