Proposing a novel approach using quaternion embeddings in hypercomplex space for temporal knowledge graph completion.
The author introduces a novel approach using quaternion embeddings in hypercomplex space for temporal knowledge graph completion, focusing on capturing dynamic relations over time. The proposed method outperforms existing models by effectively modeling complex temporal variability.