Parameter-Free Structural-Diversity Message Passing for Graph Neural Networks

Mingyue Kong, Yinglong Zhang, Chengda Xu +2

Graph Neural Networks (GNNs) have shown remarkable performance in structured data modeling tasks such as node classification. However, mainstream approaches generally rely on a lar…