Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural ...

Abstract: Graph convolutional networks (GCNs) are popular neural network models for relational graph data and have inspired de facto models for learning on relational datasets with high-dimensional ...