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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 / 1,088 papers shown
Title
A Unification Framework for Euclidean and Hyperbolic Graph Neural
  Networks
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks
Mehrdad Khatir
Nurendra Choudhary
Sutanay Choudhury
Khushbu Agarwal
Chandan K. Reddy
29
4
0
09 Jun 2022
Alternately Optimized Graph Neural Networks
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
49
8
0
08 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
40
50
0
06 Jun 2022
On Calibration of Graph Neural Networks for Node Classification
On Calibration of Graph Neural Networks for Node Classification
Tong Liu
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Hang Li
Volker Tresp
33
11
0
03 Jun 2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique
  Problem?
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Yimeng Min
Frederik Wenkel
Michael Perlmutter
Guy Wolf
GNN
19
16
0
03 Jun 2022
Shortest Path Networks for Graph Property Prediction
Shortest Path Networks for Graph Property Prediction
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
31
46
0
02 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes
Vision GNN: An Image is Worth Graph of Nodes
Kai Han
Yunhe Wang
Jianyuan Guo
Yehui Tang
Enhua Wu
GNN
3DH
26
357
0
01 Jun 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
42
12
0
31 May 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node
  Classification
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
43
14
0
31 May 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
71
208
0
31 May 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path
  Decomposition Perspective for Preventing the Over-smoothing
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
Jie Chen
Weiqi Liu
Zhizhong Huang
Junbin Gao
Junping Zhang
Jian Pu
37
3
0
30 May 2022
Personalized PageRank Graph Attention Networks
Personalized PageRank Graph Attention Networks
Julie Choi
GNN
13
5
0
27 May 2022
Bayesian Robust Graph Contrastive Learning
Bayesian Robust Graph Contrastive Learning
Yancheng Wang
Yingzhen Yang
OOD
30
1
0
27 May 2022
Deep Ensembles for Graphs with Higher-order Dependencies
Deep Ensembles for Graphs with Higher-order Dependencies
Steven J. Krieg
William C. Burgis
Patrick M. Soga
Nitesh Chawla
AI4CE
GNN
24
3
0
27 May 2022
Asynchronous Neural Networks for Learning in Graphs
Asynchronous Neural Networks for Learning in Graphs
Lukas Faber
Roger Wattenhofer
GNN
27
3
0
24 May 2022
Not too little, not too much: a theoretical analysis of graph
  (over)smoothing
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
57
91
0
24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge
  Distillation
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
Huarui He
Jie Wang
Zhanqiu Zhang
Feng Wu
25
40
0
24 May 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification
Pasquale Antonante
Heath Nilsen
Luca Carlone
55
24
0
22 May 2022
Simplifying Node Classification on Heterophilous Graphs with Compatible
  Label Propagation
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Zhiqiang Zhong
Sergey Ivanov
Jun Pang
45
9
0
19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural
  Networks from Multi-order Interactions
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Fang Wu
Siyuan Li
Lirong Wu
Dragomir R. Radev
Stan Z. Li
27
2
0
15 May 2022
Simple Contrastive Graph Clustering
Simple Contrastive Graph Clustering
Yue Liu
Xihong Yang
Sihang Zhou
Xinwang Liu
GNN
49
110
0
11 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture
  Model
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
19
4
0
10 May 2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based
  Graph Convolutional Networks
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
S. Shi
Jian Chen
Kai Qiao
Shuai Yang
Linyuan Wang
B. Yan
GNN
28
1
0
08 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension
Learning Label Initialization for Time-Dependent Harmonic Extension
A. Azad
33
1
0
03 May 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable
  Logical Reasoning
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
Fangzhi Xu
Jun Liu
Qika Lin
Yudai Pan
Lingling Zhang
31
24
0
02 May 2022
GTNet: A Tree-Based Deep Graph Learning Architecture
GTNet: A Tree-Based Deep Graph Learning Architecture
Nan Wu
Chaofan Wang
21
5
0
27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
36
1
0
26 Apr 2022
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for
  Knowledge-based Visual Question Answering
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
Y. Heo
Eun-Sol Kim
Woo Suk Choi
Byoung-Tak Zhang
29
27
0
22 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
DropMessage: Unifying Random Dropping for Graph Neural Networks
Taoran Fang
Zhiqing Xiao
Chunping Wang
Jiarong Xu
Xuan Yang
Yang Yang
24
47
0
21 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks
Effects of Graph Convolutions in Multi-layer Networks
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
23
24
0
20 Apr 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Yuan Gao
Xiang Wang
Xiangnan He
Huamin Feng
Yongdong Zhang
SSL
29
45
0
19 Apr 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
Rajgopal Kannan
C.-C. Jay Kuo
27
2
0
19 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
31
29
0
06 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
49
109
0
04 Apr 2022
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
32
12
0
04 Apr 2022
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted
  Graph Convolutional Neural Networks
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks
Steffen Jung
Margret Keuper
GNN
24
3
0
04 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
  Non-Parametric Distribution Assignment
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment
Junseok Lee
Yunhak Oh
Yeonjun In
Namkyeong Lee
Dongmin Hyun
Chanyoung Park
27
12
0
04 Apr 2022
Preventing Over-Smoothing for Hypergraph Neural Networks
Preventing Over-Smoothing for Hypergraph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Yang Li
28
22
0
31 Mar 2022
AEGNN: Asynchronous Event-based Graph Neural Networks
AEGNN: Asynchronous Event-based Graph Neural Networks
S. Schaefer
Daniel Gehrig
Davide Scaramuzza
GNN
26
142
0
31 Mar 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs
  and Undirected Graphs
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
Jiying Zhang
Fuyang Li
Xi Xiao
Tingyang Xu
Yu Rong
Junzhou Huang
Yatao Bian
GNN
18
24
0
31 Mar 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
19
51
0
30 Mar 2022
Understanding Graph Convolutional Networks for Text Classification
Understanding Graph Convolutional Networks for Text Classification
S. Han
Zihan Yuan
Kunze Wang
Siqu Long
Josiah Poon
GNN
29
16
0
30 Mar 2022
Enhanced compound-protein binding affinity prediction by representing
  protein multimodal information via a coevolutionary strategy
Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy
Binjie Guo
Hanyu Zheng
Haohan Jiang
Xiaodan Li
Nai-Yang Guan
Yanming Zuo
Yicheng Zhang
Hengfu Yang
Xuhua Wang
19
4
0
30 Mar 2022
Exploring High-Order Structure for Robust Graph Structure Learning
Exploring High-Order Structure for Robust Graph Structure Learning
Guangqian Yang
Yibing Zhan
Jinlong Li
Baosheng Yu
Liu Liu
Fengxiang He
AAML
9
0
0
22 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization
LEReg: Empower Graph Neural Networks with Local Energy Regularization
Xiaojun Ma
Hanyue Chen
Guojie Song
27
3
0
20 Mar 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal
  Transport
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Jiying Zhang
Xi Xiao
Long-Kai Huang
Yu Rong
Yatao Bian
OT
32
32
0
20 Mar 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with
  Heterophily
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Jie Chen
Shouzhen Chen
Junbin Gao
Zengfeng Huang
Junping Zhang
Jian Pu
52
24
0
19 Mar 2022
Meta-Weight Graph Neural Network: Push the Limits Beyond Global
  Homophily
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
Xiaojun Ma
Qinkai Chen
Yuanyi Ren
Guojie Song
Liang Wang
25
22
0
19 Mar 2022
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine
  Reading Comprehension
AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
Xiao Li
Gong Cheng
Ziheng Chen
Yawei Sun
Yuzhong Qu
NAI
AI4CE
20
18
0
16 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Jiayi Yang
Sourav Medya
Wei Ye
38
4
0
15 Mar 2022
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