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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"

13 / 113 papers shown
Title
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
33
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
32
35
0
14 Jun 2021
Automated Self-Supervised Learning for Graphs
Automated Self-Supervised Learning for Graphs
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Jiliang Tang
SSL
29
76
0
10 Jun 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in
  Graph-based Attack and Defense
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan
Xiaobing Pei
AAML
24
9
0
30 Apr 2021
Towards Robust Graph Contrastive Learning
Towards Robust Graph Contrastive Learning
Nikola Jovanović
Zhao Meng
Lukas Faber
Roger Wattenhofer
SSL
26
33
0
25 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNN
SSL
22
159
0
09 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
197
0
28 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework
GraphAttacker: A General Multi-Task GraphAttack Framework
Jinyin Chen
Dunjie Zhang
Zhaoyan Ming
Kejie Huang
Wenrong Jiang
Chen Cui
AAML
36
14
0
18 Jan 2021
Dynamic Structure Learning through Graph Neural Network for Forecasting
  Soil Moisture in Precision Agriculture
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture
Anoushka Vyas
S. Bandyopadhyay
AI4CE
25
9
0
07 Dec 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
16
257
0
13 Nov 2020
Graph Information Bottleneck for Subgraph Recognition
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu
Tingyang Xu
Yu Rong
Yatao Bian
Junzhou Huang
Ran He
30
153
0
12 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
36
176
0
05 Oct 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
27
287
0
15 Jun 2020
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