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 …
recommender systems. GCL-based Collaborative Filtering (CF) methods typically integrate …
CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation
Abstract Generative Adversarial Networks (GANs) have several advantages over latent
variable and autoregressive models, such as directly computing the input data distribution …
variable and autoregressive models, such as directly computing the input data distribution …