2021
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
ICLR 2021poster
Graph neural networks (GNNs) have demonstrated strong performance on a wide variety of tasks due to their ability to model non-uniform structured data. Despite their promise, there exists little research exploring methods to make them more efficient at inference time. In this work, we explore the vi…