Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization

Guangrui Yang, Ming Li, Han Feng +1

Graph convolutional networks (GCNs) have emerged as powerful models for graph learning tasks, exhibiting promising performance in various domains. While their empirical success is…