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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
Tracing the Propagation Path: A Flow Perspective of Representation
  Learning on Graphs
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs
Menghan Wang
Kun Zhang
Gulin Li
Keping Yang
Luo Si
GNN
16
0
0
12 Dec 2019
Continuous Graph Neural Networks
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
105
156
0
02 Dec 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
89
97
0
26 Nov 2019
Semi-Supervised Hierarchical Recurrent Graph Neural Network for
  City-Wide Parking Availability Prediction
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
Weijia Zhang
Hao Liu
Yanchi Liu
Jingbo Zhou
Hui Xiong
GNN
73
99
0
24 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs
Discrete and Continuous Deep Residual Learning Over Graphs
Pedro H. C. Avelar
Anderson R. Tavares
Marco Gori
Luís C. Lamb
GNN
67
20
0
21 Nov 2019
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
Wenlin Wang
Hongteng Xu
Zhe Gan
Bai Li
Guoyin Wang
Liqun Chen
Qian Yang
Wenqi Wang
Lawrence Carin
BDLMedIm
55
14
0
20 Nov 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching
GLMNet: Graph Learning-Matching Networks for Feature Matching
Bo Jiang
Pengfei Sun
Jin Tang
Bin Luo
54
35
0
18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
92
53
0
18 Nov 2019
Multi-Zone Unit for Recurrent Neural Networks
Multi-Zone Unit for Recurrent Neural Networks
Fandong Meng
Jinchao Zhang
Yang Liu
Jie Zhou
AI4CE
62
2
0
17 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
M. Li
Meng Dong
Jiawei Zhou
Alexander M. Rush
AI4CEGNN
80
7
0
13 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks
GraphDefense: Towards Robust Graph Convolutional Networks
Xiaoyun Wang
Xuanqing Liu
Cho-Jui Hsieh
OODAAMLGNN
86
31
0
11 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving
  General Graph Neural Network
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
Deli Chen
Xiaoqian Liu
Yankai Lin
Peng Li
Jie Zhou
Qi Su
Xu Sun
GNN
44
2
0
10 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction
Graph Convolutional Networks Meet with High Dimensionality Reduction
Mustafa Coşkun
GNNBDL
27
3
0
07 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation
  and Interaction
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
Fenyu Hu
Yanqiao Zhu
Shu Wu
Weiran Huang
Liang Wang
Tieniu Tan
GNN
69
47
0
05 Nov 2019
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited
  Labeled Data
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data
Wanyu Lin
Zhaolin Gao
Baochun Li
32
1
0
28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural
  Networks
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Danhao Zhu
Xinyu Dai
Jiajun Chen
77
25
0
27 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
63
82
0
25 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
61
54
0
24 Oct 2019
Semantic Graph Convolutional Network for Implicit Discourse Relation
  Classification
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification
Yingxue Zhang
Ping Jian
Fandong Meng
Ruiying Geng
Wei Cheng
Jie Zhou
GNN
51
3
0
21 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning
NumNet: Machine Reading Comprehension with Numerical Reasoning
Qiu Ran
Yankai Lin
Peng Li
Jie Zhou
Zhiyuan Liu
ReLMAIMat
84
117
0
15 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph
  Decomposition
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition
Xupeng Miao
Nezihe Merve Gürel
Wentao Zhang
Zhichao Han
Yue Liu
...
Yang Zhao
Shuai Zhang
Yujing Wang
Tengjiao Wang
Ce Zhang
GNN
54
6
0
10 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
79
26
0
08 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou
Jieming Shi
Shengzhong Zhang
Zengfeng Huang
Qing Li
149
15
0
07 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable
  graph embedding
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng
Zhiqiang Zhao
Yongyu Wang
Zhiru Zhang
Zhuo Feng
110
106
0
06 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
64
77
0
01 Oct 2019
Spread-gram: A spreading-activation schema of network structural
  learning
Spread-gram: A spreading-activation schema of network structural learning
Jie Bai
Linjing Li
D. Zeng
GNN
22
0
0
30 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
112
513
0
26 Sep 2019
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and
  Semi-Supervised Learning on Graphs
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs
Qimai Li
Xiaotong Zhang
Han Liu
Quanyu Dai
Xiao-Ming Wu
GNNSSL
116
15
0
26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma
Meng Qu
Kenji Kawaguchi
Alex Lamb
Yoshua Bengio
Arno Solin
Jian Tang
92
62
0
25 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer
  Learning
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedMLGNNSSL
69
9
0
22 Sep 2019
Recursive Graphical Neural Networks for Text Classification
Recursive Graphical Neural Networks for Text Classification
Wei Li
Shuheng Li
Shuming Ma
Yancheng He
Deli Chen
Xu Sun
GNN
60
10
0
18 Sep 2019
Dual Graph Convolutional Network for Semantic Segmentation
Dual Graph Convolutional Network for Semantic Segmentation
Li Zhang
Xiangtai Li
Anurag Arnab
Kuiyuan Yang
Yunhai Tong
Philip Torr
GNN
85
174
0
13 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended
  Animation
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang
Lin Meng
103
54
0
12 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
103
1,119
0
07 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
115
94
0
04 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
115
174
0
03 Sep 2019
Graph Representation Learning: A Survey
Graph Representation Learning: A Survey
Fenxiao Chen
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
GNNAI4TS
72
208
0
03 Sep 2019
Spam Review Detection with Graph Convolutional Networks
Spam Review Detection with Graph Convolutional Networks
Ao Li
Zhou Qin
Runshi Liu
Yiqun Yang
Dong Li
GNN
69
249
0
22 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
71
167
0
19 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei Wang
AI4CE
113
71
0
18 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
90
131
0
16 Aug 2019
Domain-adversarial Network Alignment
Domain-adversarial Network Alignment
Huiting Hong
Xin Li
Yuangang Pan
Ivor Tsang
36
33
0
15 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
103
83
0
14 Aug 2019
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed
  Networks
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Yuening Li
Xiao Huang
Jundong Li
Mengnan Du
Na Zou
115
111
0
11 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
SSL
121
239
0
07 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional Networks
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
36
16
0
02 Aug 2019
Learning to Dress 3D People in Generative Clothing
Learning to Dress 3D People in Generative Clothing
Qianli Ma
Jinlong Yang
Anurag Ranjan
S. Pujades
Gerard Pons-Moll
Siyu Tang
Michael J. Black
3DH
72
12
0
31 Jul 2019
Graph Neural Lasso for Dynamic Network Regression
Graph Neural Lasso for Dynamic Network Regression
Yixin Chen
Lin Meng
Jiawei Zhang
AI4TS
51
5
0
25 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
130
1,356
0
25 Jul 2019
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