ViSR-KGC combines multimodal embeddings, query-aware subgraph extraction, and graph-to-image rendering to let a vision-language model perform knowledge graph link prediction.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph Completion
ViSR-KGC combines multimodal embeddings, query-aware subgraph extraction, and graph-to-image rendering to let a vision-language model perform knowledge graph link prediction.