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- research-articleJune 2023
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
Applied Intelligence (KLU-APIN), Volume 53, Issue 19Pages 22415–22428https://doi.org/10.1007/s10489-023-04685-3AbstractGraph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes between nodes, represented as embeddings. GNNs have recently become popular because of their ability to obtain a ...