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Spectral Augmentation for Self-Supervised Learning on Graphs

Spectral Augmentation for Self-Supervised Learning on Graphs

2 October 2022
Lu Lin
Jinghui Chen
Hongning Wang
    OOD
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Papers citing "Spectral Augmentation for Self-Supervised Learning on Graphs"

7 / 7 papers shown
Title
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
26
0
0
15 May 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay
Enhancing Graph Self-Supervised Learning with Graph Interplay
Xinjian Zhao
Wei Pang
Xiangru Jian
Yaoyao Xu
Chaolong Ying
Tianshu Yu
58
0
0
17 Jan 2025
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu
Yanhua Yu
Hao Fei
Xuan Li
Zixuan Yang
Zirui Guo
Meiyu Liang
Mengran Yin
Tat-Seng Chua
31
3
0
28 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia
Runpeng Yu
Keli Zhang
Xavier Bresson
Xinchao Wang
Roger Zimmermann
44
4
0
18 Jan 2024
Hodge-Aware Contrastive Learning
Hodge-Aware Contrastive Learning
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
43
1
0
14 Sep 2023
Augmentation-Free Self-Supervised Learning on Graphs
Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee
Junseok Lee
Chanyoung Park
62
203
0
05 Dec 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
97
563
0
04 Jan 2021
1