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 memory overhead. https://www.itsmajorlook.com/super-save-OffWorld-Percussion-Outlander-Practice-Pad-limited-super/