Towards Sparsification of Graph Neural Networks

Hongwu Peng, Deniz Gurevin, Shaoyi Huang +4

As real-world graphs expand in size, larger GNN models with billions of parameters are deployed. High parameter count in such models makes training and inference on graphs expensiv…