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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
Graph-based State Representation for Deep Reinforcement Learning
Graph-based State Representation for Deep Reinforcement Learning
Vikram Waradpande
D. Kudenko
Megha Khosla
BDL
49
10
0
29 Apr 2020
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering
  Framework for Hyperspectral Image
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
Yaoming Cai
Zijia Zhang
Z. Cai
Xiaobo Liu
Xinwei Jiang
Qin Yan
79
97
0
22 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
129
36
0
17 Apr 2020
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph
  Neural Networks
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
Shu Liu
Wei Li
Yunfang Wu
Qi Su
Xu Sun
36
9
0
14 Apr 2020
Graph Highway Networks
Graph Highway Networks
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
GNN
61
5
0
09 Apr 2020
Geometrically Principled Connections in Graph Neural Networks
Geometrically Principled Connections in Graph Neural Networks
Shunwang Gong
Mehdi Bahri
M. Bronstein
Stefanos Zafeiriou
GNNAI4CE
89
21
0
06 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
105
38
0
06 Apr 2020
Distinguish Confusing Law Articles for Legal Judgment Prediction
Distinguish Confusing Law Articles for Legal Judgment Prediction
Nuo Xu
Pinghui Wang
Long Chen
Li Pan
Xiaoyan Wang
Junzhou Zhao
AILaw
132
165
0
06 Apr 2020
Revisiting Over-smoothing in Deep GCNs
Revisiting Over-smoothing in Deep GCNs
Chaoqi Yang
Ruijie Wang
Shuochao Yao
Shengzhong Liu
Tarek Abdelzaher
93
98
0
30 Mar 2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Xia Li
Yibo Yang
Qijie Zhao
Tiancheng Shen
Zhouchen Lin
Hong Liu
SSegGNN
170
163
0
23 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu
Chang Xu
Chang Yin
Weiqiang Wu
You Song
GNN
112
50
0
22 Mar 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in
  Automated Anatomical Labeling of Coronary Arteries
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Han Yang
Xingjian Zhen
Ying Chi
Lei Zhang
Xiansheng Hua
MedIm
53
46
0
19 Mar 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional
  Networks
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
GNN
151
114
0
18 Mar 2020
Monocular Depth Estimation Based On Deep Learning: An Overview
Monocular Depth Estimation Based On Deep Learning: An Overview
Chaoqiang Zhao
Qiyu Sun
Chongzhen Zhang
Yang Tang
Feng Qian
MDE
244
258
0
14 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
94
97
0
13 Mar 2020
Dual Temporal Memory Network for Efficient Video Object Segmentation
Dual Temporal Memory Network for Efficient Video Object Segmentation
Kaihua Zhang
Long Wang
Dong Liu
Bo Liu
Qingshan Liu
Zhu Li
VOS
60
15
0
13 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
93
12
0
04 Mar 2020
Self-Supervised Graph Representation Learning via Global Context
  Prediction
Self-Supervised Graph Representation Learning via Global Context Prediction
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
115
65
0
03 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
Lumin Yang
Jiajie Zhuang
Hongbo Fu
Xiangzhi Wei
Kun Zhou
Youyi Zheng
125
31
0
02 Mar 2020
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Permutohedral-GCN: Graph Convolutional Networks with Global Attention
Hesham Mostafa
Marcel Nassar
69
7
0
02 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
74
12
0
28 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral
  Measures
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
Jatin Chauhan
Deepak Nathani
Manohar Kaul
73
70
0
27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
87
46
0
27 Feb 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu
Shuangjie Xu
Pan Zhou
Kun He
Wei Wei
Zichuan Xu
39
1
0
26 Feb 2020
Dual Graph Representation Learning
Dual Graph Representation Learning
Huiling Zhu
Xin Luo
Hankui Zhuo
GNN
26
0
0
25 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
104
79
0
24 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
161
91
0
21 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
131
36
0
18 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
94
32
0
17 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang
J. Leskovec
GNN
104
172
0
17 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lio
GNN
81
15
0
11 Feb 2020
Regularizing Semi-supervised Graph Convolutional Networks with a
  Manifold Smoothness Loss
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li
Wanquan Liu
Ling Li
30
0
0
11 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
38
3
0
10 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert
Graph Neural Distance Metric Learning with Graph-Bert
Jiawei Zhang
25
6
0
09 Feb 2020
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks
Ziqing Yang
Shoudong Han
Jun Zhao
GNN
22
3
0
07 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
213
3,732
0
06 Feb 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
113
512
0
05 Feb 2020
Modeling Global and Local Node Contexts for Text Generation from
  Knowledge Graphs
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Leonardo F. R. Ribeiro
Yue Zhang
Claire Gardent
Iryna Gurevych
61
73
0
29 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
96
505
0
28 Jan 2020
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian
  Detection
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian Detection
Jin Xie
Yanwei Pang
Hisham Cholakkal
Rao Muhammad Anwer
Fahad Shahbaz Khan
Ling Shao
59
59
0
25 Jan 2020
Lattice-based Improvements for Voice Triggering Using Graph Neural
  Networks
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
Pranay Dighe
Saurabh N. Adya
Nuoyu Li
Srikanth Vishnubhotla
Devang Naik
Adithya Sagar
Ying Ma
S. Pulman
Jason D. Williams
41
8
0
25 Jan 2020
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on
  Graph Semi-Supervised Classification
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
Jiawei Zhang
GNN
50
4
0
22 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra
Aleksandra Piktus
Gerard Goossen
Fabrizio Silvestri
AI4CE
68
14
0
17 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang
Haopeng Zhang
Congying Xia
Li Sun
109
308
0
15 Jan 2020
Tensor Graph Convolutional Networks for Text Classification
Tensor Graph Convolutional Networks for Text Classification
Xien Liu
Xinxin You
Xiao Zhang
Ji Wu
Ping Lv
GNN
67
254
0
12 Jan 2020
Graph-FCN for image semantic segmentation
Graph-FCN for image semantic segmentation
Yi Lu
Yaran Chen
Dongbin Zhao
Jianxin Chen
GNNSSeg
70
126
0
02 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CEGNN
135
281
0
29 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural
  Learning
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong
Hantao Guo
Yucheng Lin
Xiaoqing Yang
Zang Li
Jieping Ye
85
219
0
19 Dec 2019
Expanding Label Sets for Graph Convolutional Networks
Expanding Label Sets for Graph Convolutional Networks
Mustafa Coşkun
Burcu Bakir-Gungor
Mehmet Koyutürk
GNN
31
2
0
18 Dec 2019
Convolutional Dictionary Pair Learning Network for Image Representation
  Learning
Convolutional Dictionary Pair Learning Network for Image Representation Learning
Zhao Zhang
Yulin Sun
Yang Wang
Zhengjun Zha
Shuicheng Yan
Meng Wang
72
7
0
17 Dec 2019
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