Tag: Knowledge graph completion

Researchers have developed MMA-HNS, a framework that keeps multimodal knowledge graph completion accurate even when the textual descriptions of entities ...

Researchers at China Jiliang University have combined fine-tuned large language models with graph attention networks to complete incomplete knowledge graphs ...

A new adversarial training method called MI-MKGC dynamically balances text, image, and structural information to predict missing facts in multimodal ...

Researchers have developed CurvBi, a framework that unites four-dimensional bicomplex algebra with Fisher-Rao-based Riemannian fusion to improve multimodal knowledge graph ...

Knowledge graphs have quietly become the connective tissue of the modern web. They sit behind search engines that anticipate your ...