BiFeat: Supercharge GNN Training via Graph Feature Quantization

Yuxin Ma, Ping Gong, Jun Yi +4

Graph Neural Networks (GNNs) is a promising approach for applications with nonEuclidean data. However, training GNNs on large scale graphs with hundreds of millions nodes is both r…