I see this as a knn approach in which the distance is a function of the strength of the edge between the vertices. In the retrofitting paper cited in the comm

I see this as a knn approach in which the distance is a function of the strength of the edge between the vertices. In the retrofitting paper cited in the comments there is a process of smoothing, that is feeding back the message or information to update the states of the graph (example in the modern ai book). It doesn't seem anything new.