In addition, TransD has no matrix-vector multiplication operation which can be replaced by vector operations.
without loss of generality, we assume m ≥ n, the projected vectors can be computed as follows: TransD has less calculation than TransR/CTransR, which makes it train faster and can be applied on large-scale knowledge graphs.