Kai-Lang Yao

Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks

The exponential increase in computation and memory complexity with the depth of network has become the main impediment to the successful application of graph neural networks (GNNs) on large-scale graphs like graphs with hundreds of millions of nodes. In this paper, we propose a novel neighbor sampli…