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Showing 1 to 1 of 1 for “"graph embedding neural networks (GENNs)"”.

  1. Graph feature engineering and coordinate-based learning for transferable and energy-efficient artificial intelligence

    … framework for efficient and scalable graph representation learning is presented, emphasizing coordinate-based and explicit structural methods. The research addresses the limitations of Graph Neural Networks (GNNs) in resource-constrained environments, including edge devices and …

    colostate Repository record for Graph feature engineering and coordinate-based learning for transferable and energy-efficient artificial intelligence (opens in a new tab)