Journal article : Editorial

Guest editorial: special issue on graph learning

Publication status:: Published

Peer review status:: Reviewed (other)

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APA Style

Xia, F., Lambiotte, R., Shah, N., Tong, H., & King, I. (2024). Guest editorial: special issue on graph learning . IEEE Transactions on Neural Networks and Learning Systems, 35(9), 11630–11633.

MLA Style

Xia, F., et al. “Guest Editorial: Special Issue on Graph Learning .” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, IEEE, 2024, pp. 11630–33.

Chicago Style

Xia, F, R Lambiotte, N Shah, H Tong, and I King. 2024. “Guest Editorial: Special Issue on Graph Learning .” IEEE Transactions on Neural Networks and Learning Systems 35 (9): 11630–33.
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Publisher copy:: 10.1109/tnnls.2024.3427528

Authors

+ Xia, F More by this author

Role:: Author

+ Lambiotte, R More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Mathematical Institute
Oxford college:: Somerville College
Role:: Author
ORCID:: 0000-0002-0583-4595

+ Shah, N More by this author

Role:: Author

+ Tong, H More by this author

Role:: Author

+ King, I More by this author

Role:: Author

Publisher:: IEEE
Journal:: IEEE Transactions on Neural Networks and Learning Systems More from this journal
Volume:: 35
Issue:: 9
Pages:: 11630-11633
Article number:: 9
Publication date:: 2024-09-03
Acceptance date:: 2024-09-01
DOI:: 10.1109/tnnls.2024.3427528
EISSN:: 2162-2388
ISSN:: 2162-237X

Language:: English
Keywords:: recommender systems

FFR

graph neural networks

graphical models

learning systems

machine learning

anomaly detection

artificial intelligence

internet of things

contrastive learning
Subtype:: Editorial
Pubs id:: 2027742
Local pid:: pubs:2027742
Deposit date:: 2024-10-04

Terms of use

Copyright holder:: IEEE
Copyright date:: 2024
Rights statement:: © 2024 IEEE.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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