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About the min-max modeling.

Open cjfcsjt opened this issue 3 years ago • 1 comments

The research work is exciting! I noticed that you formulate the automated graph contrastive learning as the min-max optimization problem. May I ask that why not use the bi-level optimization where the upper level objective is to search the augmentation operations and the lower level objective is to optimize the contrastive loss (like existing one-shot neural architecture search methods)?

cjfcsjt avatar Nov 20 '21 02:11 cjfcsjt

Hi @cjfcsjt,

Sorry for the late reply. In paper we did solve it by a naive bi-level optimization if referring to section 3.2.

yyou1996 avatar Dec 19 '21 15:12 yyou1996