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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
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
125
84
0
22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R. Wolfe
Jingkang Yang
Arindam Chowdhury
Chen Dun
Artun Bayer
Santiago Segarra
Anastasios Kyrillidis
BDLGNNLRM
120
9
0
20 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing
  Graph Convolutional Networks
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
Haimin Zhang
Min Xu
Guoqiang Zhang
Kenta Niwa
50
9
0
20 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised
  Node Classification
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
Jingyi Wang
Zhidong Deng
GNN
57
12
0
19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
130
362
0
18 Feb 2021
Ego-based Entropy Measures for Structural Representations on Graphs
Ego-based Entropy Measures for Structural Representations on Graphs
George Dasoulas
Giannis Nikolentzos
Kevin Scaman
Aladin Virmaux
Michalis Vazirgiannis
28
0
0
17 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation
  Technique
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
Steph-Yves M. Louis
Alireza Nasiri
Fatima J. Rolland
Cameron Mitro
Jianjun Hu
119
9
0
17 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph
  Convolutional Neural Networks
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan
Milad Hashemi
Kevin Swersky
Yaoqing Yang
Danai Koutra
122
255
0
12 Feb 2021
Multiplex Bipartite Network Embedding using Dual Hypergraph
  Convolutional Networks
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue
Luwei Yang
Vaibhav Rajan
Wen Jiang
Yi Wei
Yu Lin
GNN
46
48
0
12 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural
  Networks
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi
Layla El Asri
Seyed Mehran Kazemi
GNNSSL
135
166
0
09 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning
Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem
Yongqin Xian
Federico Tombari
Zeynep Akata
CoGe
79
141
0
03 Feb 2021
Post-OCR Paragraph Recognition by Graph Convolutional Networks
Post-OCR Paragraph Recognition by Graph Convolutional Networks
Renshen Wang
Yasuhisa Fujii
Ashok Popat
GNN
83
20
0
29 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
136
203
0
28 Jan 2021
Learning Parametrised Graph Shift Operators
Learning Parametrised Graph Shift Operators
George Dasoulas
J. Lutzeyer
Michalis Vazirgiannis
OOD
61
22
0
25 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label
  Propagation, Graph Convolutions, and Combinations
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
Junteng Jia
Austin R. Benson
80
29
0
19 Jan 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
90
66
0
17 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
Zhixiang Chen
Tengfei Ma
Zhihua Jin
Yangqiu Song
Yangkun Wang
GNN
84
5
0
14 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular
  dynamics force fields
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
Zun Wang
Chong Wang
Sibo Zhao
Shiqiao Du
Yong Xu
B. Gu
W. Duan
AI4CE
108
14
0
08 Jan 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
156
71
0
08 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie
Bin Wang
C.-C. Jay Kuo
76
36
0
07 Jan 2021
Discourse-level Relation Extraction via Graph Pooling
Discourse-level Relation Extraction via Graph Pooling
I-Hung Hsu
Xiaoyu Guo
Premkumar Natarajan
Nanyun Peng
GNNAI4CE
89
11
0
01 Jan 2021
Adaptive Graph Diffusion Networks
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Mingchuan Yang
GNNDiffMAI4CE
88
12
0
30 Dec 2020
Infer-AVAE: An Attribute Inference Model Based on Adversarial
  Variational Autoencoder
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
Yadong Zhou
Zhihao Ding
Xiaoming Liu
Chao Shen
Lingling Tong
X. Guan
BDLDRL
100
8
0
30 Dec 2020
Signed Graph Diffusion Network
Signed Graph Diffusion Network
Jinhong Jung
Jaemin Yoo
U. Kang
GNNDiffM
78
19
0
28 Dec 2020
A pipeline for fair comparison of graph neural networks in node
  classification tasks
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
62
5
0
19 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface
  Translation
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
Mehdi Bahri
Eimear O' Sullivan
Shunwang Gong
Feng Liu
Xiaoming Liu
M. Bronstein
Stefanos Zafeiriou
CVBM3DH
99
17
0
16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
172
127
0
16 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to
  Semi-Supervised Node Classification
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
Deli Chen
Yankai Lin
Lei Li
Xuancheng Ren
Peng Li
Jie Zhou
Xu Sun
92
5
0
14 Dec 2020
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial
  Attacks on Graphs
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
Jiarong Xu
Yizhou Sun
Xin Jiang
Yanhao Wang
Yang Yang
Chunping Wang
Jiangang Lu
AAML
112
14
0
12 Dec 2020
GNN-XML: Graph Neural Networks for Extreme Multi-label Text
  Classification
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification
Daoming Zong
Shiliang Sun
41
9
0
10 Dec 2020
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video
  Object Segmentation
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
Daizong Liu
Shuangjie Xu
Xiao-Yang Liu
Zichuan Xu
Wei Wei
Pan Zhou
VOS
63
21
0
10 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common
  Subsequence Metric Space
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
Jianming Huang
Zhongxi Fang
Hiroyuki Kasai
52
20
0
07 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
120
21
0
07 Dec 2020
Coarse-to-Fine Entity Representations for Document-level Relation
  Extraction
Coarse-to-Fine Entity Representations for Document-level Relation Extraction
Damai Dai
Jingjing Ren
Shuang Zeng
Baobao Chang
Zhifang Sui
AI4TS
63
3
0
04 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
95
24
0
02 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
127
315
0
30 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li
Yixin Liu
Zhen Zhang
Shirui Pan
Jianliang Gao
Jiajun Bu
60
7
0
24 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
  Graph Neural Networks
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
86
34
0
22 Nov 2020
Stacked Graph Filter
Stacked Graph Filter
Hoang NT
Takanori Maehara
T. Murata
GNN
67
4
0
22 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Scalable Graph Neural Networks for Heterogeneous Graphs
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
66
50
0
19 Nov 2020
Node Similarity Preserving Graph Convolutional Networks
Node Similarity Preserving Graph Convolutional Networks
Wei Jin
Hanyu Wang
Yiqi Wang
Yao Ma
Zitao Liu
Jiliang Tang
90
259
0
19 Nov 2020
Graph-Based Neural Network Models with Multiple Self-Supervised
  Auxiliary Tasks
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks
Franco Manessi
A. Rozza
SSL
65
40
0
14 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
95
266
0
13 Nov 2020
Heterogeneous Graph Collaborative Filtering
Heterogeneous Graph Collaborative Filtering
Zekun Li
Yujia Zheng
Shu Wu
Xiaoyu Zhang
Liang Wang
27
6
0
13 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities
Attentive Social Recommendation: Towards User And Item Diversities
Dongsheng Luo
Yuchen Bian
Xiang Zhang
Jun Huan
30
4
0
09 Nov 2020
Dual ResGCN for Balanced Scene GraphGeneration
Dual ResGCN for Balanced Scene GraphGeneration
Jingyi Zhang
Yong Zhang
Baoyuan Wu
Yanbo Fan
Fumin Shen
Heng Tao Shen
67
12
0
09 Nov 2020
Automorphic Equivalence-aware Graph Neural Network
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu
Quanming Yao
Pan Hui
Yong Li
59
5
0
09 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
238
1,254
0
04 Nov 2020
On Self-Distilling Graph Neural Network
On Self-Distilling Graph Neural Network
Y. Chen
Yatao Bian
Xi Xiao
Yu Rong
Tingyang Xu
Junzhou Huang
FedML
69
49
0
04 Nov 2020
Relational Graph Learning on Visual and Kinematics Embeddings for
  Accurate Gesture Recognition in Robotic Surgery
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
Yonghao Long
Jinlin Wu
Bo Lu
Yueming Jin
Mathias Unberath
Yunhui Liu
Pheng Ann Heng
Qi Dou
90
39
0
03 Nov 2020
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