4 citations · 5 across the 3 of their papers we have counts for
1 paper · 1 filter
Jun Kato, Airi Mita, Keita Gobara +1
Graphs are useful for representing various realworld objects. However, graph neural networks (GNNs) tend to suffer from over-smoothing, where the representations of nodes of differ…