MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators

Cheng Wan, Runkai Tao, Zheng Du +2

Graph convolutional networks (GCNs) have demonstrated superiority in graph-based learning tasks. However, training GCNs on full graphs is particularly challenging, due to the follo…