This input matrix is fed to the convolution layer where different filters of the same 1 × 3 shape are used to extract the global relationships among same dimensional entries of the embedding triple.
these filters are repeatedly operated over every row of the input matrix to produce different The score function f (h, r, t)  feature maps.