Unveiling the nature of graphs through quantum graphon learning
Abstract Graphons are continuous functions hidden behind large-scale graphs. Traditional approaches to graphon learning either suffer from the resolution limitations of piecewise-constant functions or struggle to capture the high-frequency structures intrinsic to graphons. In this paper, we propose...
Uloženo v:
| Hlavní autoři: | , , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2025-11-01
|
| Edice: | npj Quantum Information |
| On-line přístup: | https://doi.org/10.1038/s41534-025-01141-7 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|