Selective network discovery via deep reinforcement learning on embedded spaces

Selective network discovery via deep reinforcement learning on embedded spaces

Abstract Complex networks are often either too large for full exploration, partially accessible, or partially observed. Downstream learning tasks on these incomplete networks can produce low quality results. In addition, reducing the incompleteness of the network can be costly and nontrivial. As a r...

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Bibliographic Details
Main Authors:	Morales, Peter (Author), Caceres, Rajmonda S (Author), Eliassi-Rad, Tina (Author)
Format:	Article
Language:	English
Published:	Springer International Publishing, 2021-09-20T17:41:47Z.
Subjects:	Article
Online Access:	Get fulltext

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