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pro vyhledávání: '"Xie, Linbo"'
Due to inappropriate sample selection and limited training data, a distribution shift often exists between the training and test sets. This shift can adversely affect the test performance of Graph Neural Networks (GNNs). Existing approaches mitigate
Externí odkaz:
http://arxiv.org/abs/2308.09259
In the past few years, Softmax has become a common component in neural network frameworks. In this paper, a gradient decay hyperparameter is introduced in Softmax to control the probability-dependent gradient decay rate during training. By following
Externí odkaz:
http://arxiv.org/abs/2210.17145
Autor:
Zhang, Siyuan, Xie, Linbo
Publikováno v:
In Neural Networks October 2024 178
Publikováno v:
In Energy 1 July 2024 298
Publikováno v:
In Information Sciences June 2024 670
Publikováno v:
In Neurocomputing 28 May 2024 583
Publikováno v:
In Expert Systems With Applications 15 April 2024 240
Publikováno v:
In Knowledge-Based Systems 25 November 2023 280
Autor:
Zhang, Siyuan, Xie, Linbo
Publikováno v:
In Applied Soft Computing August 2023 143
Publikováno v:
In Image and Vision Computing July 2023 135