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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
