Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lu, Yijingxiu"'
Out-of-distribution (OOD) generalization in the graph domain is challenging due to complex distribution shifts and a lack of environmental contexts. Recent methods attempt to enhance graph OOD generalization by generating flat environments. However,
Externí odkaz:
http://arxiv.org/abs/2403.01773
Recent contrastive learning methods have shown to be effective in various tasks, learning generalizable representations invariant to data augmentation thereby leading to state of the art performances. Regarding the multifaceted nature of large unlabe
Externí odkaz:
http://arxiv.org/abs/2205.13279
Autor:
Lim, Sangsoo, Lu, Yijingxiu, Cho, Chang Yun, Sung, Inyoung, Kim, Jungwoo, Kim, Youngkuk, Park, Sungjoon, Kim, Sun
Publikováno v:
In Computational and Structural Biotechnology Journal 2021 19:1541-1556
