Graph Oversampling Method Based on Graph Latent Representation Distribution Learning
In the real world, many graph datasets suffer from class imbalance issues, typically manifesting at the node, edge, and graph levels. Common oversampling-based methods for addressing graph-level imbalance often lead to model overfitting due to a lack of sample diversity. To address this issue, a gra...
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| Autor Principal: | |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2025-07-01
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| Series: | Jisuanji kexue yu tansuo |
| Assuntos: | |
| Acceso en liña: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2407119.pdf |
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