1 code implementation • 6 Apr 2022 • Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin
In this paper, we first point out that in a GCN training problem with a given training set, the aggregation stages of its backward propagation phase (called as backward aggregations in this paper) can be converted to partially-active graph processing procedures, which conduct computation on only partial vertices of the input graph.