Rui Xu

Quality-Aware Multimodal Graph Learning Via Attention-Guided Fusion and Reliability-Aware Optimization

Multimodal graph learning has become an important direction for modeling graph-structured data with heterogeneous node content, such as text and images. However, existing methods often rely on globally shared or weakly adaptive fusion strategies, which makes it difficult to model node-wise differences in modality usefu...