Learning Multi-View Representations with Graph-Level Fusion: A Bi-Level Optimization Perspective
Multi-view representation learning, aiming to extract discriminative patterns from heterogeneous data sources, has attracted increasing attention in recent years. A central challenge in multi-view data fusion lies in determining the appropriate weight and importance of each view in a principled manner. While graph-base...