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

50 / 1,084 papers shown
Title
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
21
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
27
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
6
64
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
38
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
16
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
14
11
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
25
69
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
29
45
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
16
1
0
26 Feb 2020
Dual Graph Representation Learning
Dual Graph Representation Learning
Huiling Zhu
Xin Luo
Hankui Zhuo
GNN
14
0
0
25 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
14
71
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
29
90
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
13
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
19
29
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
11
165
0
17 Feb 2020
Graph Convolutional Gaussian Processes For Link Prediction
Graph Convolutional Gaussian Processes For Link Prediction
Felix L. Opolka
Pietro Lió
GNN
19
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
6
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
6
3
0
10 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert
Graph Neural Distance Metric Learning with Graph-Bert
Jiawei Zhang
8
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
6
2
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
13
3,506
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
15
484
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
14
72
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
33
492
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
F. Khan
Ling Shao
12
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
9
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
8
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
28
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
18
296
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
21
244
0
12 Jan 2020
Graph-FCN for image semantic segmentation
Graph-FCN for image semantic segmentation
Yi Lu
Yaran Chen
Dongbin Zhao
Jianxin Chen
GNN
SSeg
8
124
0
02 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
42
276
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
17
213
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
19
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
25
6
0
17 Dec 2019
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
6
0
0
12 Dec 2019
Continuous Graph Neural Networks
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
19
149
0
02 Dec 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Xiao Wang
Shu Wu
Zhitao Xiao
19
94
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
6
96
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
24
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
BDL
MedIm
6
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
B. Luo
15
34
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
19
47
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
6
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
AI4CE
GNN
28
7
0
13 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks
GraphDefense: Towards Robust Graph Convolutional Networks
Xiaoyun Wang
Xuanqing Liu
Cho-Jui Hsieh
OOD
AAML
GNN
17
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
17
2
0
10 Nov 2019
Graph Convolutional Networks Meet with High Dimensionality Reduction
Graph Convolutional Networks Meet with High Dimensionality Reduction
Mustafa Coşkun
GNN
BDL
6
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
T. Tan
GNN
13
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
8
1
0
28 Oct 2019
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