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This paper addresses the challenge of incremental learning in growing graphs with increasingly complex tasks. The goal is to continually train a graph model to handle new tasks while retaining its inference ability on previous tasks. Existing methods
Externí odkaz:
http://arxiv.org/abs/2406.07413
Publikováno v:
In Journal of Petroleum Science and Engineering February 2022 209
Publikováno v:
Tenders Info Reports. 9/1/2020, pN.PAG-N.PAG. 1p.
Publikováno v:
Physical Review Letters. 96
A Comment on the Letter by Di Xiao, Junren Shi, and Qian Niu, Phys. Rev. Lett. 95, 137204 (2005). The authors of the Letter offer a Reply.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c29fd35bea9ec1e0e6f576df23eec6e
https://doi.org/10.1103/physrevlett.96.099701
https://doi.org/10.1103/physrevlett.96.099701