AINeutralarXiv – CS AI · Jun 26/10
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Introduction to Graph Neural Networks for Machine Learning Engineers
A comprehensive survey introduces graph neural networks (GNNs) through an encoder-decoder framework, demonstrating their effectiveness across various graph analytics tasks. The paper emphasizes critical challenges like oversmoothing and oversquashing in GNN training, providing experimental insights on how network performance scales with training data and graph complexity.