MSGNN: a spectral graph neural network based on a novel magnetic signed Laplacian
Signed and directed networks are ubiquitous in real-world applications. However, there has been relatively little work proposing spectral graph neural networks (GNNs) for such networks. Here we introduce a signed directed Laplacian matrix, which we call the magnetic signed Laplacian, as a natural ge...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Journal of Machine Learning Research
2022
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