GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs

Zhongshu Zhu, Bin Jing, Xiaopei Wan +3

As a powerful tool for modeling graph data, Graph Neural Networks (GNNs) have received increasing attention in both academia and industry. Nevertheless, it is notoriously difficult…