Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs

Zichao Yue, Chenhui Deng, Zhiru Zhang

Graph neural networks (GNNs) are widely used for learning node embeddings in graphs, typically adopting a message-passing scheme. This approach, however, leads to the neighbor expl…