26 citations · 37 across the 5 of their papers we have counts for
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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…
cs.LG2023★ 3 cited
Framelet Message Passing
Xinliang Liu, Bingxin Zhou, Chutian Zhang +1
Graph neural networks (GNNs) have achieved champion in wide applications. Neural message passing is a typical key module for feature propagation by aggregating neighboring features…