Furthermore, an autoencoder should learn from genuine patterns of relation matrices that emerge from fitting the KB, but not the reverse -in which the autoencoder imposes arbitrary patterns to relation matrices according to random initialization.
it is not surprising that a naive optimization of L 1 + L 2 does not work.