Preprint
Aug 2026
ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph Completion
ViSR-KGC, a visual subgraph reasoning approach for KGC, integrates three complementary capabilities to capture semantic correlations: identifying global topology dependencies via representation learning, analyzing local multimodal evidence using VLMs, and providing necessary commonsense knowledge inherent in pre-trained models.
Jiafan Li, Mengxue Yang, Jiaqi Zhu et al.
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