Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL

Aravinda Jatavallabha, Prabhanjan Bharadwaj, Ashish Chander

Graph Neural Networks (GNNs) are powerful tools for recommendation systems, but they often struggle under data sparsity and noise. To address these issues, we implemented LightGCL,…