2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024technical
Various Graph Neural Networks (GNN) have been successful in analyzing data in non-Euclidean spaces, however, they have limitations such as oversmoothing, i.e., information becomes excessively averaged as the number of hidden layers increases. The issue stems from the intrinsic formulation of convent…