Post #512

Rethinking Graph Neural Architecture Search from Message-passing With abundance of GNNs architectures it's natural to ask how to select the right architecture for your task. In a recent CVPR 2021 work propose a generic architecture that encompasses many existing GNNs, which is then optimized via gradient descent. After optimization resulted GNNs may get different architectures for each layer of GNNs.