Previous work have used this concept of influence similarly for several different tasks [Kononenko et al., 2010, Koh andLiang, 2017]  where We are also interested in investigating the robustness of models, i.e., how sensitive are the predictions to small additions to the knowledge graph.
for a target prediction s, r, o , we are interested in identifying a single fake fact s , r , o that, when added to the knowledge graph G, changes the prediction score ψ(s, r, o) the most.