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Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction
v1v2 (latest)

Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction

13 October 2024
Jielong Yang
Rui Ding
Feng Ji
Hongbin Wang
Linbo Xie
ArXiv (abs)PDFHTML

Papers citing "Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction"

19 / 19 papers shown
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
Anwar Said
Yifan Wei
O. Ahmad
Mudassir Shabbir
W. Abbas
X. Koutsoukos
317
0
0
21 Jul 2025
Are GATs Out of Balance?
Are GATs Out of Balance?Neural Information Processing Systems (NeurIPS), 2023
Nimrah Mustafa
Aleksandar Bojchevski
R. Burkholz
363
10
0
11 Oct 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural
  Networks via Test-Time Feature Reconstruction
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature ReconstructionIEEE Internet of Things Journal (IEEE IoT J.), 2023
Ruitian Ding
Jielong Yang
Feng Ji
Xionghu Zhong
Linbo Xie
334
2
0
18 Aug 2023
Unleashing the Power of Graph Data Augmentation on Covariate
  Distribution Shift
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftNeural Information Processing Systems (NeurIPS), 2022
Yongduo Sui
Qitian Wu
Jiancan Wu
Daixin Wang
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
336
52
0
05 Nov 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph TransformationInternational Conference on Learning Representations (ICLR), 2022
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Shucheng Zhou
Neil Shah
OOD
445
82
0
07 Oct 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability
  Guarantees
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability GuaranteesNeural Information Processing Systems (NeurIPS), 2022
Rui Zhou
Thanin Quartz
H. Sterck
Jun Liu
293
80
0
04 Jun 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Metropolis-Hastings Data Augmentation for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Hyeon-ju Park
Seunghun Lee
S. Kim
Jinyoung Park
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
251
62
0
26 Mar 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A SurveySIGKDD Explorations (SIGKDD Explor.), 2022
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OODGNN
341
277
0
16 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODCML
550
131
0
16 Feb 2022
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Generalizing Graph Neural Networks on Out-Of-Distribution GraphsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shaohua Fan
Xiao Wang
Chuan Shi
Peng Cui
Bai Wang
CMLOODOODDAI4CE
423
122
0
20 Nov 2021
Lyapunov-stable neural-network control
Lyapunov-stable neural-network control
Hongkai Dai
Benoit Landry
Lujie Yang
Marco Pavone
Russ Tedrake
266
152
0
29 Sep 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph
  Training Data
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data
Qi Zhu
Natalia Ponomareva
Jiawei Han
Bryan Perozzi
OOD
409
132
0
02 Aug 2021
Pointer Graph Networks
Pointer Graph NetworksNeural Information Processing Systems (NeurIPS), 2020
Petar Velivcković
Lars Buesing
Matthew Overlan
Razvan Pascanu
Oriol Vinyals
Charles Blundell
GNN
373
69
0
11 Jun 2020
Neural Lyapunov Control
Neural Lyapunov ControlNeural Information Processing Systems (NeurIPS), 2020
Ya-Chien Chang
Nima Roohi
Sicun Gao
446
369
0
01 May 2020
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
754
3,703
0
19 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
FaMLGNNAI4TSAI4CE
1.7K
10,535
0
03 Jan 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
514
1,664
0
14 Nov 2018
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
1.9K
33,728
0
09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNNSSL
785
2,402
0
29 Mar 2016
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