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Rethinking Graph Regularization for Graph Neural Networks

Rethinking Graph Regularization for Graph Neural Networks

4 September 2020
Han Yang
Kaili Ma
James Cheng
    AI4CE
ArXivPDFHTML

Papers citing "Rethinking Graph Regularization for Graph Neural Networks"

13 / 13 papers shown
Title
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
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
47
0
0
26 Dec 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
42
0
0
13 Aug 2024
Self-attention Dual Embedding for Graphs with Heterophily
Self-attention Dual Embedding for Graphs with Heterophily
Yurui Lai
Taiyan Zhang
Rui Fan
GNN
35
0
0
28 May 2023
Distributional Signals for Node Classification in Graph Neural Networks
Distributional Signals for Node Classification in Graph Neural Networks
Feng Ji
See Hian Lee
Kai Zhao
Wee Peng Tay
Jielong Yang
10
2
0
07 Apr 2023
Graph Anomaly Detection in Time Series: A Survey
Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
24
5
0
31 Jan 2023
Deep Manifold Learning with Graph Mining
Deep Manifold Learning with Graph Mining
Xuelong Li
Ziheng Jiao
Hongyuan Zhang
Rui Zhang
GNN
13
0
0
18 Jul 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization
LEReg: Empower Graph Neural Networks with Local Energy Regularization
Xiaojun Ma
Hanyue Chen
Guojie Song
16
3
0
20 Mar 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
26
22
0
25 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
11
202
0
29 Dec 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
35
62
0
19 Jul 2021
Calibrating and Improving Graph Contrastive Learning
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Haochen Yang
Han Yang
Yongqiang Chen
James Cheng
45
6
0
27 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
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