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cs.AI2026
RADD: Retrieval-Anchored Discrete Diffusion for Multi-Modal Knowledge Graph Completion
Guanglin Niu, Bo Li
Multi-modal knowledge graph completion aims to infer missing links by integrating structural, visual, and textual information. However, global retrieval can leave fine-grained enti…
cs.AI2025
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
Guanglin Niu, Bo Li, Yangguang Lin
Knowledge graphs (KGs) have emerged as a powerful paradigm for structuring and leveraging diverse real-world knowledge, which serve as a fundamental technology for enabling cogniti…
cs.AI2024
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
Guanglin Niu, Bo Li, Siling Feng
Knowledge graph completion (KGC) tasks aim to infer missing facts in a knowledge graph (KG) for many knowledge-intensive applications. However, existing embedding-based KGC approac…