most citedHow Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing

7 citations · 11 across the 3 of their papers we have counts for

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math.SP2024★ 1 cited

Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms

Yuanhong Jiang, Dongmian Zou, Xiaoqun Zhang +1

Graph neural networks (GNNs) have become pivotal tools for processing graph-structured data, leveraging the message passing scheme as their core mechanism. However, traditional GNN…