Raphtory: Decentralised Streaming for Temporal Graphs: Doctoral Symposium

Benjamin A. Steer, Félix Cuadrado, R. Clegg
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Abstract

Temporal graphs capture the relationships within data as they develop throughout time. Intuition, therefore, suggests that this model would fit naturally within a streaming architecture, where new points of comparison can be inserted directly into the graph as they arrive from the data source. However, the current state of the art has yet to join these two concepts, supporting either temporal analysis on static data or streaming into one-dimensional dynamic graphs. To solve this problem we introduce Raphtory, a temporal graph streaming platform, which maintains a full graph history whilst efficiently inserting new alterations.
图片集:时间图的分散流:博士研讨会
时间图捕捉数据随时间发展的关系。因此,直觉表明,该模型将自然地适合流架构,当新的比较点从数据源到达时,可以直接插入到图中。然而,目前的技术水平还没有将这两个概念结合起来,支持静态数据的时间分析或流到一维动态图中。为了解决这个问题,我们引入了Raphtory,一个时态图流平台,它在有效插入新更改的同时保持了完整的图历史。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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