An Uncoupled Training Architecture for Large Graph Learning

21 Mar 2020Dalong YangChuan ChenYouhao ZhengZibin ZhengShih-wei Liao

Graph Convolutional Network (GCN) has been widely used in graph learning tasks. However, GCN-based models (GCNs) is an inherently coupled training framework repetitively conducting the complex neighboring aggregation, which leads to the limitation of flexibility in processing large-scale graph... (read more)

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