Yuhe Guo

Clenshaw Graph Neural Networks

2022 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs), which use a message-passing paradigm with stacked convolution layers, are foundational methods for learning graph representations. Recent GCN models use various residual connection techniques to alleviate the model degradation problem such …