2 papers
cs.LG2025
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…
cs.LG2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks
Guangrui Yang, Jianfei Li, Ming Li +2
In this paper, we explore the approximation theory of functions defined on graphs. Our study builds upon the approximation results derived from the -functional. We establish a t…