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2009.02027
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Rethinking Graph Regularization for Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
4 September 2020
Han Yang
Kaili Ma
James Cheng
AI4CE
Re-assign community
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Papers citing
"Rethinking Graph Regularization for Graph Neural Networks"
31 / 31 papers shown
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Lian Shen
Zhendan Chen
Yinhui jiang
Meijia Song
Ziming Su
Juan Liu
Xiangrong Liu
117
1
0
25 Nov 2025
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
283
0
0
22 Mar 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Changwoon Choi
Jeongjun Kim
Geonho Cha
Minkwan Kim
Dongyoon Wee
Young Min Kim
3DH
480
7
0
26 Dec 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
International Conference on Learning Representations (ICLR), 2024
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
689
4
0
13 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
307
1
0
09 Aug 2024
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
383
9
0
16 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
468
3
0
01 Jun 2024
Are GATs Out of Balance?
Neural Information Processing Systems (NeurIPS), 2023
Nimrah Mustafa
Aleksandar Bojchevski
R. Burkholz
356
10
0
11 Oct 2023
Self-attention Dual Embedding for Graphs with Heterophily
Yurui Lai
Taiyan Zhang
Rui Fan
GNN
251
0
0
28 May 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
356
0
0
25 May 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
International Conference on Machine Learning (ICML), 2023
Feng Ji
See Hian Lee
Hanyang Meng
Kai Zhao
Jielong Yang
Wee Peng Tay
262
17
0
29 Apr 2023
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
Costas Mavromatis
V. Ioannidis
Shen Wang
Da Zheng
Soji Adeshina
Jun Ma
Han Zhao
Christos Faloutsos
George Karypis
266
40
0
20 Apr 2023
Distributional Signals for Node Classification in Graph Neural Networks
Feng Ji
See Hian Lee
Kai Zhao
Wee Peng Tay
Jielong Yang
176
2
0
07 Apr 2023
Probe: Learning Users' Personalized Projection Bias in Intertemporal Choices
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Qingming Li
H. V. Zhao
147
0
0
09 Mar 2023
Learning Topology-Specific Experts for Molecular Property Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Seon Gyeom Kim
Dongha Lee
SeongKu Kang
Seonghyeon Lee
Hwanjo Yu
AAML
159
26
0
27 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
International Conference on Information and Knowledge Management (CIKM), 2022
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
277
14
0
20 Feb 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization
Hengrui Zhang
Shen Wang
V. Ioannidis
Soji Adeshina
Jiani Zhang
Xiao Qin
Christos Faloutsos
Da Zheng
George Karypis
Philip S. Yu
249
4
0
31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
684
18
0
31 Jan 2023
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification
European Conference on Artificial Intelligence (ECAI), 2022
Moshe Eliasof
E. Haber
Eran Treister
GNN
206
0
0
29 Nov 2022
Improving Your Graph Neural Networks: A High-Frequency Booster
Jiaqi Sun
Lin Zhang
Shenglin Zhao
Yujiu Yang
218
9
0
15 Oct 2022
Deep Manifold Learning with Graph Mining
Xuelong Li
Ziheng Jiao
Hongyuan Zhang
Rui Zhang
GNN
150
2
0
18 Jul 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
182
4
0
09 Jun 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization
International Conference on Information and Knowledge Management (CIKM), 2021
Xiaojun Ma
Hanyue Chen
Guojie Song
194
4
0
20 Mar 2022
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
114
24
0
25 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
International Conference on Learning Representations (ICLR), 2022
Yongqiang Chen
Han Yang
Yonggang Zhang
Kaili Ma
Tongliang Liu
Bo Han
James Cheng
AAML
242
99
0
16 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
190
282
0
29 Dec 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
322
78
0
19 Jul 2021
Customizing Graph Neural Networks using Path Reweighting
Information Sciences (Inf. Sci.), 2021
Jianpeng Chen
Yujing Wang
Ming Zeng
Zongyi Xiang
Bitan Hou
Yu Tong
Ole J. Mengshoel
Yazhou Ren
229
3
0
21 Jun 2021
Convergent Graph Solvers
International Conference on Learning Representations (ICLR), 2021
Junyoung Park
J. Choo
Jinkyoo Park
152
17
0
03 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
314
273
0
26 Feb 2021
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Prachi Agrawal
Han Yang
Yongqiang Chen
James Cheng
295
6
0
27 Jan 2021
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