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Streaming atomic link learning based on socialization and system accuracy

机译:基于社会化和系统准确性的流媒体语隙学习

摘要

Devices and methods for modeling streaming data are disclosed. A method includes: receiving, by a computing device, a local graph model; determining, by the computing device, a subgraph in the local graph model; acquiring, by the computing device, an external graph model; determining, by the computing device, a plurality of alternative subgraphs in the external graph model; determining, by the computing device, a score for each of the plurality of alternative subgraphs; selecting, by the computing device, an alternative subgraph having a highest score among the plurality of alternative subgraphs; and ensembling, by the computing device, the local graph model and the alternative subgraph having the highest score.
机译:公开了用于建模流数据的设备和方法。 一种方法包括:通过计算设备接收本地图形模型; 通过计算设备确定本地图模型中的子图; 通过计算设备获取外部图形模型; 通过计算设备确定外部图形模型中的多个替代子图; 通过计算设备确定多个替代子图中的每一个的分数; 通过计算设备选择具有在多个替代子图中具有最高分数的替代子图; 通过计算设备,本地图模型和具有最高分的替代子图的合奏。

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