In recent years, graph-based deep learning algorithms have attracted widespread attention in the field of consumer electronics. Still, most of the current graph neural networks are based on supervised ...

Keywords: metabolic diseases, natural medicines, drug discovery, graph autoencoder, metabolite-disease associations Citation: Liao Q, Zhao W, Wang Z, Xu L, Yang K, Liu X and Zhang L (2025) Deciphering ...

Community detection intends to cluster graph nodes with relevant information, and community detection for attributed graphs is of great practical importance. However, the existing work is still ...

kNN-models is a k-nearest neighbor augmented sequence modeling toolkit implemented based on Fairseq. It enhances the pre-trained neural sequence to sequence model by retrieving from the external ...

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