NFGCL: A Negative-sampling-free Graph Contrastive Learning Framework for Recommendation

Y Xiao, R Ma, J Sang - Information Sciences, 2024 - Elsevier
Abstract Recently, Graph Contrastive Learning (GCL) has seen rapid growth in
recommender systems. GCL-based Collaborative Filtering (CF) methods typically integrate …

CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation

R Nahta, GS Chauhan, YK Meena, D Gopalani - Information Sciences, 2025 - Elsevier
Abstract Generative Adversarial Networks (GANs) have several advantages over latent
variable and autoregressive models, such as directly computing the input data distribution …