Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

This paper targets at improving the generalizability of hypergraph neural networks in the low-label regime, through applying the contrastive learning approach from images/graphs (we refer to it as ). We focus on the following question: We provide the solutions in two folds. First, guided by domain k...

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Bibliographic Details
Published inAdvances in neural information processing systems Vol. 35; p. 1909
Main Authors Wei, Tianxin, You, Yuning, Chen, Tianlong, Shen, Yang, He, Jingrui, Wang, Zhangyang
Format Journal Article
LanguageEnglish
Published United States 01.12.2022
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ISSN1049-5258

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