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2311.02687
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Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Neural Information Processing Systems (NeurIPS), 2023
5 November 2023
Xiaojun Guo
Yifei Wang
Zeming Wei
Yisen Wang
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Papers citing
"Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning"
7 / 7 papers shown
Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size
Smayan Khanna
Doruk Efe Gökmen
Risi Kondor
Vincenzo Vitelli
112
0
0
01 Sep 2025
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm
Marius Keute
Alica Guzmán
Sebastian Damrich
Andrew Draganov
D. Kobak
GNN
353
0
0
31 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
444
1
0
18 Feb 2025
Do spectral cues matter in contrast-based graph self-supervised learning?
Xiangru Jian
Xinjian Zhao
Wei Pang
Chaolong Ying
Yimu Wang
Yaoyao Xu
Tianshu Yu
SSL
133
0
0
30 May 2024
Perfect Alignment May be Poisonous to Graph Contrastive Learning
International Conference on Machine Learning (ICML), 2023
Jingyu Liu
Huayi Tang
Yong Liu
222
4
0
06 Oct 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
1.2K
4,653
0
17 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
International Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
718
1,564
0
10 Jun 2020
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