DeepPath is trained to find paths more efficiently between two given entities while being agnostic to whether the entity pairs are positive or negative, whereas MIN-ERVA learns to reach target nodes given an entityquery pair while being agnostic to the quality of the searched path 1 .
in practice, we found that the KL-reward term log p β qϕ causes severe instability during training, so we finally leave this term out by setting w KL as 0.