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Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018
Qimai Li
Zhichao Han
Xiao-Ming Wu
    GNNSSL
ArXiv (abs)PDFHTML

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

50 / 1,098 papers shown
Title
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
Wentao Zhang
Zheyu Lin
Yu Shen
Yang Li
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
63
5
0
17 Jun 2022
Boosting Graph Structure Learning with Dummy Nodes
Boosting Graph Structure Learning with Dummy Nodes
Xin Liu
Cheng Jiayang
Yangqiu Song
Xin Jiang
3DH
70
25
0
17 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Wei Jin
Xiaorui Liu
Yao Ma
Charu C. Aggarwal
Jiliang Tang
81
45
0
15 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound
DiffWire: Inductive Graph Rewiring via the Lovász Bound
Adrián Arnaiz-Rodríguez
Ahmed Begga
Francisco Escolano
Nuria Oliver
91
67
0
15 Jun 2022
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised
  GNN Architecture Search
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search
Yingguang Yang
Renyu Yang
Yangyang Li
Kai Cui
Zhiqin Yang
Yue Wang
Jie Xu
Haiyong Xie
79
51
0
14 Jun 2022
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
Wenhao Li
Hong Liu
Tianyu Guo
Runwei Ding
Haoling Tang
3DH
124
32
0
13 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang
Yanming Shen
Heng Qi
Baocai Yin
44
17
0
11 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Yi Yang
Yanqiao Zhu
Hejie Cui
Xuan Kan
Lifang He
Ying Guo
Carl Yang
64
31
0
09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling
  Perspective
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
71
4
0
09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
82
43
0
09 Jun 2022
Graph Attention Multi-Layer Perceptron
Graph Attention Multi-Layer Perceptron
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yang Li
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNNAI4CE
90
109
0
09 Jun 2022
A Unification Framework for Euclidean and Hyperbolic Graph Neural
  Networks
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir
Nurendra Choudhary
Sutanay Choudhury
Khushbu Agarwal
Chandan K. Reddy
64
5
0
09 Jun 2022
Alternately Optimized Graph Neural Networks
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
129
8
0
08 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
121
53
0
06 Jun 2022
On Calibration of Graph Neural Networks for Node Classification
On Calibration of Graph Neural Networks for Node Classification
Tong Liu
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Hang Li
Volker Tresp
103
11
0
03 Jun 2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique
  Problem?
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Yimeng Min
Frederik Wenkel
Michael Perlmutter
Guy Wolf
GNN
50
18
0
03 Jun 2022
Shortest Path Networks for Graph Property Prediction
Shortest Path Networks for Graph Property Prediction
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
124
49
0
02 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes
Vision GNN: An Image is Worth Graph of Nodes
Kai Han
Yunhe Wang
Jianyuan Guo
Yehui Tang
Enhua Wu
GNN3DH
119
377
0
01 Jun 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
113
13
0
31 May 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node
  Classification
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
88
16
0
31 May 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
131
226
0
31 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path
  Decomposition Perspective for Preventing the Over-smoothing
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
Jie Chen
Weiqi Liu
Zhizhong Huang
Junbin Gao
Junping Zhang
Jian Pu
70
3
0
30 May 2022
Personalized PageRank Graph Attention Networks
Personalized PageRank Graph Attention Networks
Julie Choi
GNN
32
6
0
27 May 2022
Bayesian Robust Graph Contrastive Learning
Bayesian Robust Graph Contrastive Learning
Yancheng Wang
Yingzhen Yang
OOD
77
1
0
27 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies
Deep Ensembles for Graphs with Higher-order Dependencies
Steven J. Krieg
William C. Burgis
Patrick M. Soga
Nitesh Chawla
AI4CEGNN
59
3
0
27 May 2022
Asynchronous Neural Networks for Learning in Graphs
Asynchronous Neural Networks for Learning in Graphs
Lukas Faber
Roger Wattenhofer
GNN
76
3
0
24 May 2022
Not too little, not too much: a theoretical analysis of graph
  (over)smoothing
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
123
98
0
24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge
  Distillation
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
Huarui He
Jie Wang
Zhanqiu Zhang
Feng Wu
62
42
0
24 May 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
Pasquale Antonante
Heath Nilsen
Luca Carlone
96
25
0
22 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Zhiqiang Zhong
Sergey Ivanov
Jun Pang
72
9
0
19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
109
3
0
15 May 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
120
120
0
11 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture
  Model
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
122
6
0
10 May 2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based
  Graph Convolutional Networks
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
S. Shi
Jian Chen
Kai Qiao
Shuai Yang
Linyuan Wang
B. Yan
GNN
67
1
0
08 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension
Learning Label Initialization for Time-Dependent Harmonic Extension
A. Azad
80
1
0
03 May 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable
  Logical Reasoning
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
Fangzhi Xu
Jun Liu
Qika Lin
Yudai Pan
Lingling Zhang
108
26
0
02 May 2022
GTNet: A Tree-Based Deep Graph Learning Architecture
GTNet: A Tree-Based Deep Graph Learning Architecture
Nan Wu
Chaofan Wang
34
5
0
27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
88
1
0
26 Apr 2022
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for
  Knowledge-based Visual Question Answering
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
Y. Heo
Eun-Sol Kim
Woo Suk Choi
Byoung-Tak Zhang
67
28
0
22 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
DropMessage: Unifying Random Dropping for Graph Neural Networks
Taoran Fang
Zhiqing Xiao
Chunping Wang
Jiarong Xu
Xuan Yang
Yang Yang
56
53
0
21 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks
Effects of Graph Convolutions in Multi-layer Networks
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
98
26
0
20 Apr 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Yuan Gao
Xiang Wang
Xiangnan He
Huamin Feng
Yongdong Zhang
SSL
50
48
0
19 Apr 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
Rajgopal Kannan
C.-C. Jay Kuo
73
2
0
19 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
143
31
0
06 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNNAI4TS
112
125
0
04 Apr 2022
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
71
12
0
04 Apr 2022
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted
  Graph Convolutional Neural Networks
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks
Steffen Jung
Margret Keuper
GNN
51
4
0
04 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
  Non-Parametric Distribution Assignment
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee
Yunhak Oh
Yeonjun In
Namkyeong Lee
Dongmin Hyun
Chanyoung Park
90
15
0
04 Apr 2022
Preventing Over-Smoothing for Hypergraph Neural Networks
Preventing Over-Smoothing for Hypergraph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Yang Li
75
23
0
31 Mar 2022
AEGNN: Asynchronous Event-based Graph Neural Networks
AEGNN: Asynchronous Event-based Graph Neural Networks
S. Schaefer
Daniel Gehrig
Davide Scaramuzza
GNN
104
149
0
31 Mar 2022
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