Network Representation Learning Algorithm Based on Complete Subgraph Folding

Network representation learning is a machine learning method that maps network topology and node information into low-dimensional vector space. Network representation learning enables the reduction of temporal and spatial complexity in the downstream data mining of networks, such as node classificat...

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Hlavní autoři:	Dongming Chen, Mingshuo Nie, Jiarui Yan, Dongqi Wang, Qianqian Gan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-02-01
Edice:	Mathematics
Témata:	network representation learning complete subgraph graph folding
On-line přístup:	https://www.mdpi.com/2227-7390/10/4/581
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