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On the Robustness of Graph Neural Diffusion to Topology Perturbations

On the Robustness of Graph Neural Diffusion to Topology Perturbations

16 September 2022
Yang Song
Qiyu Kang
Sijie Wang
Zhao Kai
Wee Peng Tay
    DiffM
    AAML
ArXivPDFHTML

Papers citing "On the Robustness of Graph Neural Diffusion to Topology Perturbations"

34 / 34 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TS
AI4CE
355
1
0
29 Mar 2025
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
88
0
0
23 Feb 2024
Understanding over-squashing and bottlenecks on graphs via curvature
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping
Francesco Di Giovanni
B. Chamberlain
Xiaowen Dong
M. Bronstein
87
437
0
29 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of
  Graph Machine Learning
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Qinkai Zheng
Xu Zou
Yuxiao Dong
Yukuo Cen
Da Yin
Jiarong Xu
Yang Yang
Jie Tang
OOD
AAML
35
50
0
08 Nov 2021
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending
  Against Adversarial Attacks
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang
Yang Song
Qinxu Ding
Wee Peng Tay
AAML
34
92
0
25 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
40
82
0
18 Oct 2021
GRAND: Graph Neural Diffusion
GRAND: Graph Neural Diffusion
B. Chamberlain
J. Rowbottom
Maria I. Gorinova
Stefan Webb
Emanuele Rossi
M. Bronstein
GNN
85
261
0
21 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
TDGIA:Effective Injection Attacks on Graph Neural Networks
Xu Zou
Qinkai Zheng
Yuxiao Dong
Xinyu Guan
Evgeny Kharlamov
Jialiang Lu
Jie Tang
AAML
57
101
0
12 Jun 2021
Lipschitz Normalization for Self-Attention Layers with Application to
  Graph Neural Networks
Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks
George Dasoulas
Kevin Scaman
Aladin Virmaux
GNN
31
39
0
08 Mar 2021
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Hongzhi Zhang
Yanan Cao
Bin Wang
93
91
0
23 Oct 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang
Marinka Zitnik
AAML
62
292
0
15 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
72
391
0
22 May 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
OOD
AAML
51
698
0
20 May 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Z. Yang
Q. Zheng
AAML
GNN
57
87
0
22 Apr 2020
On Robustness of Neural Ordinary Differential Equations
On Robustness of Neural Ordinary Differential Equations
Hanshu Yan
Jiawei Du
Vincent Y. F. Tan
Jiashi Feng
OOD
42
139
0
12 Oct 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
39
325
0
12 Jun 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
109
569
0
22 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
288
8,441
0
03 Jan 2019
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
136
1,324
0
11 Dec 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
103
1,345
0
14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
186
1,674
0
14 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
139
7,554
0
01 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
218
5,024
0
19 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
181
3,513
0
06 Jun 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
100
1,060
0
21 May 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
294
19,902
0
30 Oct 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
55
301
0
28 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
366
15,066
0
07 Jun 2017
Stable Architectures for Deep Neural Networks
Stable Architectures for Deep Neural Networks
E. Haber
Lars Ruthotto
64
722
0
09 May 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
252
7,388
0
04 Apr 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
93
3,541
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
422
28,795
0
09 Sep 2016
Image-based Recommendations on Styles and Substitutes
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
88
2,383
0
15 Jun 2015
Image Labeling on a Network: Using Social-Network Metadata for Image
  Classification
Image Labeling on a Network: Using Social-Network Metadata for Image Classification
Julian McAuley
J. Leskovec
VLM
41
187
0
16 Jul 2012
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