Federated recommender system based on diffusion augmentation and guided denoising
Sequential recommender systems often struggle with accurate personalized
recommendations due to data sparsity issues. Existing works use variational autoencoders …
recommendations due to data sparsity issues. Existing works use variational autoencoders …
Simplified self-supervised learning for hybrid propagation graph-based recommendation
Abstract Recent progress in Graph Convolutional Networks (GCNs) has facilitated their
extensive application in recommendation, yielding notable performance gains …
extensive application in recommendation, yielding notable performance gains …