DataFunTalk

Dec 25, 2019 · Artificial Intelligence

Exploring Depth in Graph Convolutional Networks (GCN): Architecture, Experiments, and Future Work

This article examines the challenges of deepening Graph Convolutional Networks (GCN), introduces ResGCN, DenseGCN, and skip‑neighbor designs to enable deeper architectures, presents experimental results showing improved performance with 28‑layer models, and outlines future research directions.