Haoyu Han

Enhancing Graph Representations Learning with Decorrelated Propagation

2023

In recent years, graph neural networks (GNNs) have been widely used in many domains due to their powerful capability in representation learning on graph-structured data. While a majority of extant studies focus on mitigating the …