The Power of Noise: Unified Multi-modal Knowledge Graph Representation Framework
The authors propose a novel SnAg method that integrates modality-level noise masking for multi-modal entity features in KGs, achieving state-of-the-art performance across various datasets. By deliberately incorporating noise, the approach adapts to real-world scenarios and significantly boosts performance.