GCNII
GCNII
**GCNII** is an extension of a [Graph Convolution Networks](https://www.paperswithcode.com/method/gcn) with two new techniques, initial residual and identify mapping, to tackle the problem of oversmoothing -- where stacking more layers and adding non-linearity tends to degrade performance. At each layer, initial residual constructs a skip connection from the input layer, while identity mapping adds an identity matrix to the weight matrix.
Simple and Deep Graph Convolutional Networks
https://paperswithcode.com/paper/simple-and-deep-graph-convolutional-networks-1
Simple and Deep Graph Convolutional Networks