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cs.LG2022
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs
Lequan Lin, Junbin Gao
Spectral Graph Convolutional Networks (spectral GCNNs), a powerful tool for analyzing and processing graph data, typically apply frequency filtering via Fourier transform to obtain…
cs.LG2022★ 1 cited
A Simple Yet Effective SVD-GCN for Directed Graphs
Chunya Zou, Andi Han, Lequan Lin +1
In this paper, we propose a simple yet effective graph neural network for directed graphs (digraph) based on the classic Singular Value Decomposition (SVD), named SVD-GCN. The new…