Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation

Narges Nemati, Mostafa Haghir Chehreghani

Matrix completion is a widely adopted framework in recommender systems, as predicting the missing entries in the user-item rating matrix enables a comprehensive understanding of us…