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Homophily-Driven Sanitation View for Robust Graph Contrastive Learning
v1v2 (latest)

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning

24 July 2023
Yulin Zhu
Xing Ai
Yevgeniy Vorobeychik
Kai Zhou
    AAML
ArXiv (abs)PDFHTML

Papers citing "Homophily-Driven Sanitation View for Robust Graph Contrastive Learning"

33 / 33 papers shown
Title
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node
  Classification
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Kai Zhou
54
6
0
25 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
78
50
0
02 Oct 2022
Adversarial Graph Contrastive Learning with Information Regularization
Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng
Baoyu Jing
Yada Zhu
Hanghang Tong
50
66
0
14 Feb 2022
Unsupervised Graph Poisoning Attack via Contrastive Loss
  Back-propagation
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
Hongxu Chen
Xiangguo Sun
Yicong Li
Guandong Xu
AAMLSSL
54
43
0
20 Jan 2022
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
89
150
0
21 Sep 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly
  Detection
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Yulin Zhu
Y. Lai
Kaifa Zhao
Xiapu Luo
Ming Yuan
Jian Ren
Kai Zhou
AAML
52
24
0
18 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks?
  Theoretical Connections and Practical Implications
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Jiong Zhu
Junchen Jin
Donald Loveland
Michael T. Schaub
Danai Koutra
AAML
65
36
0
14 Jun 2021
Graph Sanitation with Application to Node Classification
Graph Sanitation with Application to Node Classification
Zhe Xu
Boxin Du
Hanghang Tong
71
35
0
19 May 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
72
226
0
12 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition
Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
64
9
0
08 Feb 2021
Unsupervised Adversarially-Robust Representation Learning on Graphs
Unsupervised Adversarially-Robust Representation Learning on Graphs
Jiarong Xu
Yang Yang
Junru Chen
Chunping Wang
Xin Jiang
Jiangang Lu
Yizhou Sun
SSLAAMLOOD
134
37
0
04 Dec 2020
Node Similarity Preserving Graph Convolutional Networks
Node Similarity Preserving Graph Convolutional Networks
Wei Jin
Hanyu Wang
Yiqi Wang
Yao Ma
Zitao Liu
Jiliang Tang
79
257
0
19 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
84
1,110
0
27 Oct 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
232
1,302
0
10 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
73
816
0
07 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
OODAAML
84
706
0
20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
372
18,778
0
13 Feb 2020
Topology Attack and Defense for Graph Neural Networks: An Optimization
  Perspective
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu
Hongge Chen
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Mingyi Hong
Xue Lin
AAML
52
450
0
10 Jun 2019
Understanding Straight-Through Estimator in Training Activation
  Quantized Neural Nets
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin
J. Lyu
Shuai Zhang
Stanley Osher
Y. Qi
Jack Xin
MQLLMSV
103
318
0
13 Mar 2019
GAP: Generalizable Approximate Graph Partitioning Framework
GAP: Generalizable Approximate Graph Partitioning Framework
Azade Nazi
W. Hang
Anna Goldie
Sujith Ravi
Azalia Mirhoseini
66
61
0
02 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OODAAMLGNN
128
572
0
22 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
140
2,551
0
24 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,360
0
14 Nov 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
130
2,386
0
27 Sep 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
327
10,349
0
10 Jul 2018
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
104
1,781
0
30 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNNAAMLOOD
159
1,069
0
21 May 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
342
5,372
0
03 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
644
29,076
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,876
0
03 Jul 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNNSSL
171
2,095
0
29 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
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