We directly compare our model with prior work using the results about knowledge embedding models reported in<cite> [Lin et al., 2015b]</cite> n=50, m=50, γ 1 =5, γ 2 =6, α=0.0001, B=1440, λ=0.8, and η=0.05, taking the L 1 norm on WN11; n=100, m=100, γ 1 =3, γ 2 =6, α=0.0001, B=960, λ=0.8, and η=0.05, taking the L 1 norm on FB13; and n=100, m=100, γ 1 =4, γ 2 =5, α=0.0001, B=4800, λ=1, and η =0.05, taking the L 1 norm on FB15K.