Report for: Graph Neural Networks: Foundations, Frontiers, and Applications

Chapter title	Graph Neural Networks
Book title	Graph Neural Networks: Foundations, Frontiers, and Applications
Published by	Springer, Singapore, January 2022
DOI	10.1007/978-981-16-6054-2_3
Book ISBNs	978-9-81-166053-5, 978-9-81-166054-2
Authors	Wu, Lingfei, Cui, Peng, Pei, Jian, Zhao, Liang, Song, Le

Timeline

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.

Country	Count	As %
India	1	100%

Type	Count	As %
Members of the public	1	100%

Mendeley readers

The data shown below were compiled from readership statistics for 503 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	503	100%

Readers by professional status	Count	As %
Student > Ph. D. Student	107	21%
Student > Master	64	13%
Researcher	37	7%
Student > Bachelor	29	6%
Student > Doctoral Student	15	3%
Other	49	10%
Unknown	202	40%

Readers by discipline	Count	As %
Computer Science	190	38%
Engineering	32	6%
Mathematics	11	2%
Business, Management and Accounting	9	2%
Biochemistry, Genetics and Molecular Biology	7	1%
Other	35	7%
Unknown	219	44%

Graph Neural Networks: Foundations, Frontiers, and Applications