Abstract: In Deep Neural Networks (DNNs), optimization is necessary for adjusting model parameters to reduce the loss function, which directly affects the model’s performance. Effective optimization ...

Abstract: In the field of knowledge graph completion, traditional methods mainly rely on Knowledge Graph Embedding (KGE), which maps entities and relations into a low-dimensional vector space to ...