Conference
Sep 2026
A graph contrastive learning recommendation algorithm based on variational inference
The results confirm that SGICL effectively enhances recommendation accuracy, robustness, and the capacity to learn rich latent graph representations, providing a practical and scalable framework for graph-based recommender systems.
Chi Ma, Haohao Cao, Hui Hu et al.
· International Conference on... · 0 citations