Yuyan Gao

SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation

Recently, deep graph neural networks (GNNs) have emerged as the predominant architecture for recommender systems based on collaborative filtering. Nevertheless, numerous GNN-based approaches confront challenges such as complex computations and skewed feature distributions, especially with high-dimen…