most citedPolynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2024

Spectral GNN via Two-dimensional (2-D) Graph Convolution

Guoming Li, Jian Yang, Shangsong Liang +1

Spectral Graph Neural Networks (GNNs) have achieved tremendous success in graph learning. As an essential part of spectral GNNs, spectral graph convolution extracts crucial frequen…

eess.SP2024★ 2 cited

Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach

Guoming Li, Jian Yang, Shangsong Liang +1

Spectral graph neural networks are proposed to harness spectral information inherent in graph-structured data through the application of polynomial-defined graph filters, recently…