Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective

Graph Collaborative Filtering (GCF) is widely used in personalized recommendation systems. However, GCF suffers from a fundamental problem where features tend to occupy the embedding space inefficiently (by spanning only a low-dimensional subspace).