Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Peng Jiang, Masuma Akter Rumi

Training Graph Convolutional Networks (GCNs) is expensive as it needs to aggregate data recursively from neighboring nodes. To reduce the computation overhead, previous works have…