7 citations · 21 across the 15 of their papers we have counts for
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cs.LG2022★ 2 cited
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
Zixiao Wang, Yuluo Guo, Jin Zhao +5
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avo…
cs.LG2022★ 4 cited
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs
Shaoxian Xu, Zhiyuan Shao, Ci Yang +2
The emerging Graph Convolutional Network (GCN) has now been widely used in many domains, and it is challenging to improve the efficiencies of applications by accelerating the GCN t…