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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks

Lookup NU author(s): Zheng Wang, Professor Raj Ranjan

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This is the of an article that has been published in its final definitive form by IEEE, 2022.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Peng H, Yang R, Wang Z, Li J, He L, Yu P, Zomaya A, Ranjan R

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Computers

Year: 2022

Volume: 71

Issue: 3

Pages: 628-642

Print publication date: 01/03/2022

Online publication date: 11/02/2021

Acceptance date: 31/01/2021

Date deposited: 17/02/2021

ISSN (print): 0018-9340

ISSN (electronic): 1557-9956

Publisher: IEEE

URL: https://doi.org/10.1109/TC.2021.3057082

DOI: 10.1109/TC.2021.3057082

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Funding

Funder referenceFunder name
20310101D
62002007
EP/T01461X/1
EP/T021985/1
III-1763325
III-1909323
NE/P017134/1Natural Environment Research Council (NERC)
NSF ONR N00014-18-1-2009
SaTC-1930941
SKLSDE-2020ZX-12
U20B2053

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