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1905.01004
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Stability and Generalization of Graph Convolutional Neural Networks
Knowledge Discovery and Data Mining (KDD), 2019
3 May 2019
Saurabh Verma
Zhi-Li Zhang
GNN
MLT
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Papers citing
"Stability and Generalization of Graph Convolutional Neural Networks"
45 / 95 papers shown
Super-model ecosystem: A domain-adaptation perspective
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Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
International Conference on Machine Learning (ICML), 2022
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Ming Wang
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Pin-Yu Chen
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191
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Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng Zhang
David Wipf
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136
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14 Jun 2022
Theory of Graph Neural Networks: Representation and Learning
Stefanie Jegelka
GNN
AI4CE
220
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16 Apr 2022
Graph Convolutional Neural Networks Sensitivity under Probabilistic Error Model
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Xinjue Wang
Esa Ollila
S. Vorobyov
AAML
394
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15 Mar 2022
Shift-Robust Node Classification via Graph Adversarial Clustering
Qi Zhu
Chao Zhang
Chanyoung Park
Carl Yang
Jiawei Han
OOD
154
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07 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OOD
CML
433
118
0
16 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Neural Information Processing Systems (NeurIPS), 2022
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
660
62
0
01 Feb 2022
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
Pascal Esser
L. C. Vankadara
Debarghya Ghoshdastidar
191
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0
07 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
314
134
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07 Dec 2021
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-Laplacian Based Graph Neural Networks
International Conference on Machine Learning (ICML), 2021
Guoji Fu
P. Zhao
Yatao Bian
187
49
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14 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Neural Information Processing Systems (NeurIPS), 2021
Takanori Maehara
Hoang NT
189
3
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05 Nov 2021
Graph Structural Attack by Perturbing Spectral Distance
Knowledge Discovery and Data Mining (KDD), 2021
Lu Lin
Ethan Blaser
Hongning Wang
AAML
277
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01 Nov 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2021
Weilin Cong
M. Ramezani
M. Mahdavi
182
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28 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Neural Information Processing Systems (NeurIPS), 2021
Qitian Wu
Chenxiao Yang
Junchi Yan
193
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09 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
288
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24 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
ACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
666
34
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21 Jul 2021
Subgroup Generalization and Fairness of Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
247
91
0
29 Jun 2021
Stability to Deformations of Manifold Filters and Manifold Neural Networks
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
AAML
187
10
0
07 Jun 2021
Low-Rank Projections of GCNs Laplacian
Nathan Grinsztajn
Philippe Preux
Edouard Oyallon
150
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04 Jun 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
305
270
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26 Feb 2021
Generalization bounds for graph convolutional neural networks via Rademacher complexity
Shaogao Lv
GNN
183
20
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20 Feb 2021
Robustness, Privacy, and Generalization of Adversarial Training
Fengxiang He
Shaopeng Fu
Bohan Wang
Dacheng Tao
269
12
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25 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2020
Renjie Liao
R. Urtasun
R. Zemel
219
104
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14 Dec 2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Henry Kenlay
D. Thanou
Xiaowen Dong
198
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26 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks
International Conference on Machine Learning (ICML), 2020
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
498
158
0
17 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
ACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
482
270
0
30 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Neural Information Processing Systems (NeurIPS), 2020
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
357
131
0
11 Sep 2020
Learning Node Representations against Perturbations
Pattern Recognition (Pattern Recognit.), 2020
Xu Chen
Yuangang Pan
Ivor Tsang
Ya Zhang
201
4
0
26 Aug 2020
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Fengxiang He
Bohan Wang
Dacheng Tao
FedML
221
20
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18 Jul 2020
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent
Lauren Watson
Benedek Rozemberczki
Rik Sarkar
109
1
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25 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
International Conference on Machine Learning (ICML), 2020
Shuai Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
MLT
AI4CE
186
35
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25 Jun 2020
Understanding Deep Architectures with Reasoning Layer
Neural Information Processing Systems (NeurIPS), 2020
Xinshi Chen
Yufei Zhang
C. Reisinger
Le Song
AI4CE
249
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24 Jun 2020
Quantifying Challenges in the Application of Graph Representation Learning
Antonia Gogoglou
C. Bayan Bruss
Brian Nguyen
Reza Sarshogh
Keegan E. Hines
114
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18 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
427
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15 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
337
328
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07 May 2020
Generalization and Representational Limits of Graph Neural Networks
International Conference on Machine Learning (ICML), 2020
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
295
346
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14 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
International Symposium on Information Theory (ISIT), 2019
Abram Magner
Mayank Baranwal
Alfred Hero
GNN
138
14
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13 Feb 2020
Fundamental Limits of Deep Graph Convolutional Networks
Abram Magner
Mayank Baranwal
Alfred Hero
GNN
187
7
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28 Oct 2019
Understanding Isomorphism Bias in Graph Data Sets
Sergei Ivanov
Sergei Sviridov
Evgeny Burnaev
FaML
AI4CE
301
42
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26 Oct 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedML
GNN
SSL
273
10
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22 Sep 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Neural Information Processing Systems (NeurIPS), 2019
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
213
150
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Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono
Taiji Suzuki
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327
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Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
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Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
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493
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