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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
ArXivPDFHTML

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

50 / 1,084 papers shown
Title
Class-Attentive Diffusion Network for Semi-Supervised Classification
Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim
Daeho Um
H. Chang
D. Jo
J. Choi
28
14
0
18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin
Tyler Derr
Haochen Liu
Yiqi Wang
Suhang Wang
Zitao Liu
Jiliang Tang
SSL
18
171
0
17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
S. Zafeiriou
M. Bronstein
58
424
0
16 Jun 2020
Modeling Graph Structure via Relative Position for Text Generation from
  Knowledge Graphs
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs
Martin Schmitt
Leonardo F. R. Ribeiro
Philipp Dufter
Iryna Gurevych
Hinrich Schütze
GNN
14
8
0
16 Jun 2020
Fast Graph Attention Networks Using Effective Resistance Based Graph
  Sparsification
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
R. S. Srinivasa
Cao Xiao
Lucas Glass
Justin Romberg
Jimeng Sun
GNN
21
28
0
15 Jun 2020
Optimization and Generalization Analysis of Transduction through
  Gradient Boosting and Application to Multi-scale Graph Neural Networks
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
37
31
0
15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
34
713
0
14 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
42
161
0
14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
30
431
0
13 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
42
89
0
12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group
  Normalization
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou
Xiao Huang
Yuening Li
Daochen Zha
Rui Chen
Xia Hu
33
198
0
12 Jun 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
Katsuhiko Ishiguro
Kenta Oono
K. Hayashi
GNN
30
4
0
12 Jun 2020
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse
  Learning
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning
Jiawei Zhang
6
2
0
11 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
21
6
0
10 Jun 2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement
  Learning
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning
Xiaoshui Huang
Fujin Zhu
Lois Holloway
Ali Haidar
CML
17
10
0
09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical
  Implications
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
46
663
0
09 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising
  Perspectives
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
Guoji Fu
Yifan Hou
Jian Zhang
Kaili Ma
Barakeel Fanseu Kamhoua
James Cheng
17
18
0
08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Wang
Wenwu Zhu
GNN
42
29
0
08 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding
Unsupervised Differentiable Multi-aspect Network Embedding
Chanyoung Park
Carl Yang
Qi Zhu
Donghyun Kim
Hwanjo Yu
Jiawei Han
8
30
0
07 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Junxiong Zhu
Yanghua Li
Peng He
Wen-yuan Gao
Wenjun Xu
GNN
19
1
0
07 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh
Ehsan Hajiramezanali
Shahin Boluki
Mingyuan Zhou
N. Duffield
Krishna R. Narayanan
Xiaoning Qian
BDL
23
116
0
07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks
  Applications
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
36
8
0
06 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational
  Embedding
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
Zhiping Xiao
Weiping Song
Haoyan Xu
Zhicheng Ren
Yizhou Sun
22
71
0
02 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao
Shengcai Liu
Yu Rong
Jianwei Yu
10
2
0
01 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power
  Iteration Clustering
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering
Xue Li
Yuanzhi Cheng
GNN
15
9
0
30 May 2020
Non-Local Graph Neural Networks
Non-Local Graph Neural Networks
Meng Liu
Zhengyang Wang
Shuiwang Ji
24
162
0
29 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
11
101
0
25 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng
Jie Zhang
Yuxiao Dong
Yu Han
Huanbo Luan
Qian Xu
Qiang Yang
Evgeny Kharlamov
Jie Tang
26
387
0
22 May 2020
Graphs, Entities, and Step Mixture
Graphs, Entities, and Step Mixture
Kyuyong Shin
Wonyoung Shin
Jung-Woo Ha
Sunyoung Kwon
19
1
0
18 May 2020
A Semi-Supervised Assessor of Neural Architectures
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang
Yunhe Wang
Yixing Xu
Hanting Chen
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
16
67
0
14 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement
  Prediction
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
AIFin
AI4TS
27
52
0
11 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against
  Edge-Perturbing Attack
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu
Beibei Li
Tao Li
Pan Zhou
Rui Wang
AAML
27
0
0
06 May 2020
Deep Constraint-based Propagation in Graph Neural Networks
Deep Constraint-based Propagation in Graph Neural Networks
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
AI4CE
GNN
19
13
0
05 May 2020
A Robust Hierarchical Graph Convolutional Network Model for
  Collaborative Filtering
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
Shaowen Peng
Tsunenori Mine
24
8
0
30 Apr 2020
Graph-based State Representation for Deep Reinforcement Learning
Graph-based State Representation for Deep Reinforcement Learning
Vikram Waradpande
D. Kudenko
Megha Khosla
BDL
6
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
25
92
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
20
35
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
6
9
0
14 Apr 2020
Graph Highway Networks
Graph Highway Networks
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
GNN
23
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
S. Zafeiriou
GNN
AI4CE
19
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
24
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
13
160
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 F. Abdelzaher
34
93
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
SSeg
GNN
112
161
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
65
47
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
19
43
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
25
109
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
65
251
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
27
96
0
13 Mar 2020
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