Network Representation Learning Enhanced by Partial Community Information That Is Found Using Game Theory
Presently, data that are collected from real systems and organized as information networks are universal. Mining hidden information from these data is generally helpful to understand and benefit the corresponding systems. The challenges of analyzing such data include high computational complexity an...
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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2021-04-01
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| Edice: | Information |
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| On-line přístup: | https://www.mdpi.com/2078-2489/12/5/186 |
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