Dongdong An

Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation

Over-smoothing is a persistent challenge in Graph Neural Networks (GNNs), where node embeddings become indistinguishable as network depth increases, fundamentally limiting their effectiveness on tasks requiring fine-grained distinctions. This issue arises from the reliance on diffusion-based propaga