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20172024
most citedOn Approximation for Fractional Stochastic Partial Differential Equations on the Sphere

26 citations · 37 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

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…

cs.LG2024★ 7 cited

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

Keke Huang, Yu Guang Wang, Ming Li +1

Spectral Graph Neural Networks (GNNs), alternatively known as graph filters, have gained increasing prevalence for heterophily graphs. Optimal graph filters rely on Laplacian eigen…