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Towards Generalizable Graph Contrastive Learning: An Information Theory
  Perspective

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

20 November 2022
Yige Yuan
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Wen Zheng
Xueqi Cheng
ArXivPDFHTML

Papers citing "Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective"

5 / 5 papers shown
Title
TEA: Test-time Energy Adaptation
TEA: Test-time Energy Adaptation
Yige Yuan
Bingbing Xu
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
VLM
26
7
0
24 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
53
1
0
08 Nov 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient
  Method
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
26
0
0
23 Oct 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
35
143
0
21 Sep 2021
1