Leveraging advances in machine learning for the robust classification and interpretation of networks
The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines, from epidemiology to computer science. Often, simulation approaches involve selecting a suitable network generative model such as Erdös–Rényi or small-world. However, few tools are...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2025-04-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.240458 |
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