Abstract: Given the success of graph neural networks (GNNs) in node classification and link prediction tasks, recent research has sought to leverage GNNs and other graph deep learning methods in ...
Abstract: The performance of graph collaborative filtering (GCF) models could be affected by noisy user-item interactions. Existing studies on data denoising either ignore the nature of noise in ...
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