AdaGPR
AdaGPR
**AdaGPR** is an adaptive, layer-wise graph [convolution](https://paperswithcode.com/method/convolution) model. AdaGPR applies adaptive generalized Pageranks at each layer of a [GCNII](https://paperswithcode.com/method/gcnii) model by learning to predict the coefficients of generalized Pageranks using sparse solvers.
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank
https://paperswithcode.com/paper/adaptive-and-interpretable-graph-convolution
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank