Manifold-Aligned Rectification Flow for Denoised Social Recommendation
Manifold-Aligned Rectification Flow is proposed, a flow matching based framework that explicitly rectifies noisy social representations toward preference-aligned embeddings and effectively bridges the gap between the social and preference domains, yielding robust and discriminative user representations.