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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
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Papers citing
"On the Robustness of Graph Neural Diffusion to Topology Perturbations"
6 / 6 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
44
0
0
29 Mar 2025
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
35
0
0
23 Feb 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She
Sijie Wang
Qiyu Kang
Kai Zhao
Yang Song
Wee Peng Tay
Tianyu Geng
Xingchao Jian
DiffM
3DPC
32
2
0
06 Jan 2024
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
25
21
0
10 Oct 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Rui She
Wee Peng Tay
19
0
0
02 Mar 2023
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
51
77
0
23 Oct 2020
1