Framework for role discovery using transfer learning

Framework for role discovery using transfer learning

Abstract Discovering the node roles in a network helps to solve diverse social problems. Role discovery attempts to predict the node roles from a network structure, and this method has been extensively studied in various fields. Role discovery using transfer learning has many advantages, but methods...

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Bibliographic Details
Main Authors: Shumpei Kikuta, Fujio Toriumi, Mao Nishiguchi, Shu Liu, Tomoki Fukuma, Takanori Nishida, Shohei Usui
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:Applied Network Science
Subjects:
Role discovery
Transfer learning
Domain adversarial learning
Model selection
Online Access:http://link.springer.com/article/10.1007/s41109-020-00281-3

Internet

http://link.springer.com/article/10.1007/s41109-020-00281-3

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