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Enhanced Signed Graph Neural Network with Node Polarity
Signed graph neural networks learn low-dimensional representations for nodes in signed networks with positive and negative links, which helps with many downstream tasks like link prediction. However, most existing signed graph neural networks ignore individual characteristics of nodes and thus limit...
Autores principales: | Chen, Jiawang, Qiao, Zhi, Yan, Jun, Wu, Zhenqiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858250/ https://www.ncbi.nlm.nih.gov/pubmed/36673180 http://dx.doi.org/10.3390/e25010038 |
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