As an effective knowledge organizing and modeling technique, knowledge graph has become a key topic in graph research, but the practical application of KG is limited by its incompleteness. In recent ...

The proposed model includes a masked KG autoencoder for embedding learning and update, with an embedding transfer strategy to inject the learned knowledge into the new entity and relation embeddings, ...

Knowledge graphs have become essential tools for structuring and managing complex information, driving the digital transformation of power standards. Due to the heterogeneous sources and ...