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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 / 7,698 papers shown
Title
GMNN: Graph Markov Neural Networks
GMNN: Graph Markov Neural Networks
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
24
288
0
15 May 2019
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and
  Inference
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
Lukas Galke
Iacopo Vagliano
A. Scherp
CLL
GNN
OnRL
AI4CE
22
10
0
15 May 2019
Graph Convolutional Gaussian Processes
Graph Convolutional Gaussian Processes
Ian Walker
Ben Glocker
GNN
24
35
0
14 May 2019
Stochastic Blockmodels meet Graph Neural Networks
Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta
Lawrence Carin
Piyush Rai
BDL
40
80
0
14 May 2019
ActiveHNE: Active Heterogeneous Network Embedding
ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen
Guoxian Yu
Jun Wang
C. Domeniconi
Zheng Li
Xiangliang Zhang
24
86
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
Can NetGAN be improved on short random walks?
Can NetGAN be improved on short random walks?
Amir Jalilifard
Vinicius Fernandes Caridá
Alex F. Mansano
Rogers Cristo
13
3
0
13 May 2019
VideoGraph: Recognizing Minutes-Long Human Activities in Videos
VideoGraph: Recognizing Minutes-Long Human Activities in Videos
Noureldien Hussein
E. Gavves
A. Smeulders
28
77
0
13 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
25
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
25
19
0
12 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
39
1,067
0
11 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
36
226
0
11 May 2019
Graph Attention Memory for Visual Navigation
Graph Attention Memory for Visual Navigation
Dong Li
Qichao Zhang
Dongbin Zhao
Yuzheng Zhuang
Bin Wang
Wulong Liu
Rasul Tutunov
Jun Wang
31
16
0
11 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness
  Regularization for Recommender Systems
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Mengdi Zhang
J. Leskovec
Miao Zhao
Wenjie Li
Zhongyuan Wang
28
544
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
37
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
Stefanos 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
40
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
33
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
39
889
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
518
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
26
81
0
26 Apr 2019
Meta-Sim: Learning to Generate Synthetic Datasets
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar
Aayush Prakash
Ming-Yuan Liu
Eric Cameracci
Justin Yuan
Matt Rusiniak
David Acuna
Antonio Torralba
Sanja Fidler
24
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
45
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
31
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
26
479
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
23
993
0
07 Apr 2019
Context-aware Human Motion Prediction
Context-aware Human Motion Prediction
Enric Corona
Albert Pumarola
Guillem Alenyà
Francesc Moreno-Noguer
3DH
23
141
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
What Object Should I Use? - Task Driven Object Detection
What Object Should I Use? - Task Driven Object Detection
Johann Sawatzky
Yaser Souri
C. Grund
Juergen Gall
ObjD
27
26
0
05 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
32
51
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
32
188
0
03 Apr 2019
Clique pooling for graph classification
Clique pooling for graph classification
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
35
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
41
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
57
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
Multimodal Deep Network Embedding with Integrated Structure and
  Attribute Information
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information
Conghui Zheng
Li Pan
Peng Wu
23
22
0
28 Mar 2019
Learning Discrete Structures for Graph Neural Networks
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi
Mathias Niepert
Massimiliano Pontil
X. He
GNN
30
410
0
28 Mar 2019
A Survey on Graph Kernels
A Survey on Graph Kernels
Nils M. Kriege
Fredrik D. Johansson
Christopher Morris
26
407
0
28 Mar 2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural
  Networks
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
Ekaterina V. Tolstaya
Fernando Gama
James Paulos
George Pappas
Vijay Kumar
Alejandro Ribeiro
GNN
47
173
0
25 Mar 2019
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