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Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

5 October 2022
Nian Liu
Xiao Wang
Deyu Bo
Chuan Shi
Jian Pei
ArXivPDFHTML

Papers citing "Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum"

29 / 29 papers shown
Title
Negative Metric Learning for Graphs
Negative Metric Learning for Graphs
Yiyang Zhao
Chengpei Wu
Lilin Zhang
Ning Yang
19
0
0
15 May 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
Tianyi Ma
Y. Qian
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
29
0
0
28 Feb 2025
GraphAgent: Agentic Graph Language Assistant
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang
J. Tang
Lianghao Xia
Xingchen Zou
Keli Zhang
Chao Huang
LM&Ro
93
1
0
22 Dec 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral
  Clustering Perspective
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
Yujie Mo
Zhihe Lu
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
79
2
0
01 Dec 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in
  Continuous Space
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
Zhenyu Lin
Hongzheng Li
Yingxia Shao
Guanhua Ye
Yawen Li
Quanqing Xu
36
0
0
20 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without
  Positive Samples
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou
Xiangyong Cao
Deyu Meng
38
9
0
14 Oct 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New
  Insights
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen
Haitao Mao
Jingzhe Liu
Yu Song
Bingheng Li
...
Bahare Fatemi
Anton Tsitsulin
Bryan Perozzi
Hui Liu
Jiliang Tang
33
9
0
15 Jun 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
40
1
0
20 May 2024
Community-Invariant Graph Contrastive Learning
Community-Invariant Graph Contrastive Learning
Shiyin Tan
Dongyuan Li
Renhe Jiang
Ying Zhang
Manabu Okumura
OOD
52
4
0
02 May 2024
Revisiting Multimodal Emotion Recognition in Conversation from the
  Perspective of Graph Spectrum
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Tao Meng
Fuchen Zhang
Yuntao Shou
Wei Ai
Nan Yin
Keqin Li
39
21
0
27 Apr 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise
  Augmentation
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Xinjian Zhao
Liang Zhang
Yang Liu
Ruocheng Guo
Xiangyu Zhao
19
0
0
16 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
64
27
0
03 Feb 2024
Graph Contrastive Learning with Cohesive Subgraph Awareness
Graph Contrastive Learning with Cohesive Subgraph Awareness
Yucheng Wu
Leye Wang
Xiao Han
Han-Jia Ye
19
3
0
31 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
37
4
0
18 Jan 2024
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander M¨ollers
Alexander Immer
Elvin Isufi
Vincent Fortuin
SSL
BDL
UQCV
21
1
0
30 Nov 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
34
7
0
30 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph
  Contrastive Learning
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Xiaojun Guo
Yifei Wang
Zeming Wei
Yisen Wang
33
11
0
05 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations
Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao
Huaisheng Zhu
Zhengyu Chen
Suhang Wang
27
31
0
29 Oct 2023
Shape-aware Graph Spectral Learning
Shape-aware Graph Spectral Learning
Junjie Xu
Enyan Dai
Dongsheng Luo
Xiang Zhang
Suhang Wang
29
3
0
16 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
30
19
0
08 Oct 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Perfect Alignment May be Poisonous to Graph Contrastive Learning
Jingyu Liu
Huayi Tang
Yong Liu
28
2
0
06 Oct 2023
Hodge-Aware Contrastive Learning
Hodge-Aware Contrastive Learning
Alexander Mollers
Alexander Immer
Vincent Fortuin
Elvin Isufi
38
1
0
14 Sep 2023
Graph Contrastive Learning under Heterophily via Graph Filters
Graph Contrastive Learning under Heterophily via Graph Filters
Wenhan Yang
Baharan Mirzasoleiman
25
2
0
11 Mar 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
35
25
0
11 Feb 2023
Localized Contrastive Learning on Graphs
Localized Contrastive Learning on Graphs
Hengrui Zhang
Qitian Wu
Yu Wang
Shaofeng Zhang
Junchi Yan
Philip S. Yu
24
9
0
08 Dec 2022
Single-Pass Contrastive Learning Can Work for Both Homophilic and
  Heterophilic Graph
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
Hong Wang
Jieyu Zhang
Qi Zhu
Wei Huang
Kenji Kawaguchi
X. Xiao
39
11
0
20 Nov 2022
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
94
562
0
04 Jan 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
171
738
0
02 Mar 2020
1