QUANTIZED GRAPH NEURAL NETWORKS FOR IMAGE CLASSIFICATION

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-

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History education in Nigeria: Past, present and future

Before and after the introduction of western education to Nigeria by Christian missionaries, the teaching and learning of history was given pride of place, although the contents of school history privileged the Bible and English history by celebrating the importance of the arrival of the colonial powers with their religion.This position, indeed thi

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