Knowledge graph completion via complex tensor factorization

In statistical relational learning, knowledge graph completion deals with automatically understanding the structure of large knowledge graphs--labeled directed graphs-- and predicting missing relationships--labeled edges. State-of-the-art embedding models propose different trade-offs between modelin... View More