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Graph Structure Learning for Robust Graph Neural Networks

Graph Structure Learning for Robust Graph Neural Networks

20 May 2020
Wei Jin
Yao Ma
Xiaorui Liu
Xianfeng Tang
Suhang Wang
Jiliang Tang
    OOD
    AAML
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Papers citing "Graph Structure Learning for Robust Graph Neural Networks"

50 / 112 papers shown
Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Zhenru Zhang
Kai Zhang
Qi Liu
Weibo Gao
Jing Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
175
0
0
04 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
69
0
0
29 Apr 2025
Rethinking Graph Structure Learning in the Era of LLMs
Rethinking Graph Structure Learning in the Era of LLMs
Zhihan Zhang
Xunkai Li
Guang Zeng
Hongchao Qin
R. Li
Guoren Wang
49
0
0
27 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
94
0
0
16 Mar 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico
A. Alaeddini
Syed Hasib Akhter Faruqui
S. Fisher-Hoch
J. McCormick
68
0
0
13 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Yansen Wang
Xinnan Dai
Wenqi Fan
Yao Ma
76
1
0
26 Feb 2025
Uncertainty-Aware Graph Structure Learning
Uncertainty-Aware Graph Structure Learning
Shen Han
Zhiyao Zhou
Jiawei Chen
Zhezheng Hao
Sheng Zhou
Gang Wang
Yan Feng
Chong Chen
C. Wang
49
2
0
20 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks
Unveiling Mode Connectivity in Graph Neural Networks
Bingheng Li
Z. Chen
Haoyu Han
Shenglai Zeng
J. Liu
Jiliang Tang
48
0
0
18 Feb 2025
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
Jiayi Luo
Qingyun Sun
Haonan Yuan
Xingcheng Fu
Jianxin Li
DiffM
AAML
84
0
0
07 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
110
1
0
04 Feb 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
95
19
0
28 Jan 2025
A Unified Invariant Learning Framework for Graph Classification
A Unified Invariant Learning Framework for Graph Classification
Yongduo Sui
Jie Sun
Shuyao Wang
Zemin Liu
Daixin Wang
Longfei Li
Xiang Wang
OOD
86
2
0
22 Jan 2025
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
172
0
0
21 Sep 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
42
0
0
13 Aug 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for
  Robust Graph Learning
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
Tianmeng Yang
Jiahao Meng
Min Zhou
Yaming Yang
Yujing Wang
Xiangtai Li
Yunhai Tong
NoLa
34
1
0
01 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
Kanghoon Yoon
Yeonjun In
Namkyeong Lee
Kibum Kim
Chanyoung Park
AAML
31
2
0
27 Jul 2024
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Bin Cui
AAML
58
3
0
19 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge
  Graphs
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi
Sakher Khalil Alqaiidi
Afsaneh Shams
H. Arabnia
Krzysztof Kochut
39
0
0
11 Jun 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
109
22
0
15 May 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
63
0
0
23 Apr 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node
  Feature Noise
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise
Tai Hasegawa
Sukwon Yun
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
29
0
0
14 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
Jhon A. Castro-Correa
Jhony H. Giraldo
Mohsen Badiey
Fragkiskos D. Malliaros
36
7
0
28 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations
Robust Subgraph Learning by Monitoring Early Training Representations
Sepideh Neshatfar
Salimeh Yasaei Sekeh
AAML
25
0
0
14 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
36
36
0
07 Mar 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
40
5
0
06 Mar 2024
GraphEdit: Large Language Models for Graph Structure Learning
GraphEdit: Large Language Models for Graph Structure Learning
Zirui Guo
Lianghao Xia
Yanhua Yu
Yuling Wang
Zixuan Yang
Zhiyong Huang
Chao Huang
55
18
0
23 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency
  between Attribute and Graph Embedding Representations
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
AI4CE
38
2
0
28 Jan 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for
  Robust Graph Convolution Networks
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu
Gu Nan
Tianyu Xiong
Wendi Deng
Di Wang
Zhiyang Teng
Lijuan Sun
Qimei Cui
Xiaofeng Tao
19
5
0
27 Dec 2023
Robust Graph Neural Network based on Graph Denoising
Robust Graph Neural Network based on Graph Denoising
Victor M. Tenorio
Samuel Rey
Antonio G. Marques
AAML
37
1
0
11 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal
  Forecasting
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou
Luolin Xiong
Yang Tang
Jürgen Kurths
AI4TS
33
1
0
05 Dec 2023
Does Graph Distillation See Like Vision Dataset Counterpart?
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang
Kai Wang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Hao Tang
Yang You
Jianxin Li
DD
17
38
0
13 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
40
23
0
10 Oct 2023
GSLB: The Graph Structure Learning Benchmark
GSLB: The Graph Structure Learning Benchmark
Zhixun Li
Liang Wang
Xin Sun
Yifan Luo
Yanqiao Zhu
...
Xiangxin Zhou
Qiang Liu
Shu Wu
Liang Wang
Jeffrey Xu Yu
48
34
0
08 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
36
3
0
29 Aug 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
25
9
0
22 Aug 2023
Graph Structural Residuals: A Learning Approach to Diagnosis
Graph Structural Residuals: A Learning Approach to Diagnosis
Jan Lukas Augustin
Oliver Niggemann
23
2
0
14 Aug 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with
  Dynamicity Support
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
28
11
0
23 Jun 2023
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
Yuqi Zhang
Qi Qian
Hongsong Wang
Chong Liu
Weihua Chen
Fan Wang
25
16
0
15 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen
Kaize Ding
Shixiang Zhu
13
5
0
14 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node
  Classification based on Multi-View Learning and Density Awareness
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
Jianpeng Liao
Jun Yan
Qian Tao
15
1
0
07 Jun 2023
IDEA: Invariant Defense for Graph Adversarial Robustness
IDEA: Invariant Defense for Graph Adversarial Robustness
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Bingbing Xu
Xueqi Cheng
AAML
OOD
38
7
0
25 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Xia Hu
25
6
0
24 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
Bo Jiang
Fei Xu
Ziyan Zhang
Jin Tang
Feiping Nie
39
4
0
12 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on
  Graphs
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
32
3
0
24 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
59
141
0
11 Apr 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Junchi Yu
Jian Liang
Ran He
34
28
0
27 Mar 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
27
4
0
12 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh V. Chawla
21
28
0
01 Feb 2023
Are Defenses for Graph Neural Networks Robust?
Are Defenses for Graph Neural Networks Robust?
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
21
56
0
31 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of
  Relevant Information
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Qingyun Sun
Jianxin Li
Beining Yang
Xingcheng Fu
Hao Peng
Philip S. Yu
25
11
0
30 Dec 2022
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