Tag: link prediction

Spanish researchers have developed RRWK, a return random walk-based subgraph extraction method that preserves structural fidelity in dense graphs where ...

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

Researchers have developed DIRA, a model that combines dynamic entity embeddings with implicit relation-aware self-attention to significantly improve temporal knowledge ...

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 ...