Robust Graph Structure Learning with Virtual Nodes Construction
Graph neural networks (GNNs) have garnered significant attention for their ability to effectively process graph-related data. Most existing methods assume that the input graph is noise-free; however, this assumption is frequently violated in real-world scenarios, resulting in impaired graph represen...
| Główni autorzy: | , , , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
MDPI AG
2023-03-01
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| Seria: | Mathematics |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2227-7390/11/6/1397 |