Robust Link Prediction via Information Bottleneck-based Data Augmentation

CORE, a novel data augmentation framework, leverages the Information Bottleneck principle to eliminate noisy and spurious edges while recovering missing edges in graphs, thereby enhancing the generalizability of link prediction models.