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Graph Neural Networks: Foundations, Frontiers, and Applications

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Attention for Chapter: Graph Neural Networks: Self-supervised Learning
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4 X users

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Chapter title
Graph Neural Networks: Self-supervised Learning
Book title
Graph Neural Networks: Foundations, Frontiers, and Applications
Published by
Springer, Singapore, January 2022
DOI 10.1007/978-981-16-6054-2_18
Book ISBNs
978-9-81-166053-5, 978-9-81-166054-2
Authors

Wang, Yu, Jin, Wei, Derr, Tyler

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 0 0%
Unknown 16 50%
Readers by discipline Count As %
Computer Science 12 38%
Engineering 3 9%
Chemistry 1 3%
Mathematics 1 3%
Unknown 15 47%