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Semi-Supervised Classification with Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016
Thomas Kipf
Max Welling
    GNN
    SSL
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Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

50 / 7,492 papers shown
Title
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Xia Hu
30
86
0
25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A
  Novel Graph Neural Network Approach
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
Li Zeng
Yuhui Ding
Muhao Chen
Yizhou Sun
Zhong Liu
GNN
30
66
0
24 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato
M. Yamada
H. Kashima
GNN
33
127
0
24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAML
GNN
24
27
0
24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning
Fan Zhou
Chengtai Cao
Kunpeng Zhang
Goce Trajcevski
Ting Zhong
Ji Geng
24
226
0
23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
33
420
0
23 May 2019
Simulation and Augmentation of Social Networks for Building Deep
  Learning Models
Simulation and Augmentation of Social Networks for Building Deep Learning Models
Akanda Wahid-Ul-Ashraf
M. Budka
Katarzyna Musial
GNN
39
10
0
22 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
69
1,259
0
20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
32
1,795
0
20 May 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse
  Keyphrases
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun
Jian Tang
Pan Du
Zhihong Deng
Jian-Yun Nie
22
53
0
19 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud
  Processing
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
27
14
0
18 May 2019
Representation Learning on Visual-Symbolic Graphs for Video
  Understanding
Representation Learning on Visual-Symbolic Graphs for Video Understanding
E. Mavroudi
Benjamín Béjar Haro
René Vidal
27
8
0
17 May 2019
GMNN: Graph Markov Neural Networks
GMNN: Graph Markov Neural Networks
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
22
288
0
15 May 2019
Graph Convolutional Gaussian Processes
Graph Convolutional Gaussian Processes
Ian Walker
Ben Glocker
GNN
22
35
0
14 May 2019
Stochastic Blockmodels meet Graph Neural Networks
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta
Lawrence Carin
Piyush Rai
BDL
35
80
0
14 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image
  Classification
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan
Chen Gong
P. Zhong
Bo Du
Lefei Zhang
Jian Yang
30
360
0
14 May 2019
Graph Attribute Aggregation Network with Progressive Margin Folding
Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun
J. Qu
Xiaoqing Lyu
Haibin Ling
Zhi Tang
GNN
14
3
0
14 May 2019
Craquelure as a Graph: Application of Image Processing and Graph Neural
  Networks to the Description of Fracture Patterns
Craquelure as a Graph: Application of Image Processing and Graph Neural Networks to the Description of Fracture Patterns
Oleksii Sidorov
J. Hardeberg
17
4
0
13 May 2019
On Graph Classification Networks, Datasets and Baselines
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
22
19
0
12 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
39
1,066
0
11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
31
171
0
10 May 2019
Convolutional Mesh Regression for Single-Image Human Shape
  Reconstruction
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
Nikos Kolotouros
Georgios Pavlakos
Kostas Daniilidis
3DH
60
523
0
08 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
S. Zafeiriou
MedIm
3DH
26
163
0
08 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen
Xu Zou
Jianwei Zhang
Hongxia Yang
Jingren Zhou
Jie Tang
GNN
29
428
0
05 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
MLT
35
154
0
03 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac
Yu-Hsiang Huang
Petar Velickovic
Pietro Lio
Jian Tang
22
77
0
02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
36
884
0
30 Apr 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
66
517
0
29 Apr 2019
Data Poisoning Attack against Knowledge Graph Embedding
Data Poisoning Attack against Knowledge Graph Embedding
Hengtong Zhang
T. Zheng
Jing Gao
Chenglin Miao
Lu Su
Yaliang Li
K. Ren
KELM
18
81
0
26 Apr 2019
Meta-Sim: Learning to Generate Synthetic Datasets
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar
Aayush Prakash
Ming Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
22
248
0
25 Apr 2019
Deep Constrained Dominant Sets for Person Re-identification
Deep Constrained Dominant Sets for Person Re-identification
L. T. Alemu
Marcello Pelillo
M. Shah
30
40
0
25 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNN
BDL
CML
37
198
0
24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
24
24
0
24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
20
1
0
23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
21
477
0
22 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume
An-phi Nguyen
María Rodríguez Martínez
Jean-Philippe Thiran
M. Gabrani
32
22
0
18 Apr 2019
Unsupervised Open Domain Recognition by Semantic Discrepancy
  Minimization
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
Junbao Zhuo
Shuhui Wang
Shuhao Cui
Qingming Huang
30
35
0
18 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
3DPC
25
107
0
11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
39
117
0
11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
19
47
0
09 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
16
992
0
07 Apr 2019
Context-aware Human Motion Prediction
Context-aware Human Motion Prediction
Enric Corona
Albert Pumarola
Guillem Alenyà
Francesc Moreno-Noguer
3DH
13
139
0
06 Apr 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Long Zhao
Xi Peng
Yu Tian
Mubbasir Kapadia
Dimitris N. Metaxas
3DH
16
505
0
06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen
Shirui Pan
Jing Jiang
Huan Huo
Guodong Long
GNN
30
50
0
04 Apr 2019
Learning Context Graph for Person Search
Learning Context Graph for Person Search
Yichao Yan
Qiang Zhang
Bingbing Ni
Wendong Zhang
Minghao Xu
Xiaokang Yang
29
188
0
03 Apr 2019
Clique pooling for graph classification
Clique pooling for graph classification
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
29
36
0
31 Mar 2019
MedGCN: Medication recommendation and lab test imputation via graph
  convolutional networks
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
Chengsheng Mao
Liang Yao
Yuan Luo
GNN
31
48
0
31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
42
56
0
31 Mar 2019
Learning Relational Representations with Auto-encoding Logic Programs
Learning Relational Representations with Auto-encoding Logic Programs
Sebastijan Dumancic
Tias Guns
Wannes Meert
Hendrik Blockeel
NAI
21
28
0
29 Mar 2019
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