2023
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
ICLR 2023poster
Oversmoothing is a central challenge of building more powerful Graph Neural Networks (GNNs). While previous works have only demonstrated that oversmoothing is inevitable when the number of graph convolutions tends to infinity, in this paper, we precisely characterize the mechanism behind the phenome…