[GNN] MixHop architecture

https://arxiv.org/abs/1905.00067 MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Existing popular methods for semi-supervised learning with Graph Neural Networks (such as the Graph Convolutional Network) provably cannot learn a general class of neighborhood mixing relationships. To address this weakness, we propose a new model, MixHop, arxiv.org Summary ..