Quantized Graph Neural Networks for Image Classification
Researchers have resorted to model quantization to compress and accelerate graph neural networks (GNNs).Nevertheless, several challenges remain: (1) quantization functions overlook outliers in the distribution, leading to increased quantization errors; (2) the reliance on full-precision teacher models results in higher computational and A Customer-