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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 / 7,588 papers shown
Title
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
28
380
0
27 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
22
81
0
25 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
39
53
0
24 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
Qiannan Zhang
Han Yufei
Xiangliang Zhang
GNN
24
8
0
22 Oct 2019
Clustering in graphs and hypergraphs with categorical edge labels
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg
Nate Veldt
Austin R. Benson
17
89
0
22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node
  Classification
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi
Yufei Han
Qiannan Zhang
Xiangliang Zhang
25
16
0
22 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Edge Dithering for Robust Adaptive Graph Convolutional Networks
V. Ioannidis
G. Giannakis
AAML
27
8
0
21 Oct 2019
GraphSAC: Detecting anomalies in large-scale graphs
GraphSAC: Detecting anomalies in large-scale graphs
V. Ioannidis
Dimitris Berberidis
G. Giannakis
19
29
0
21 Oct 2019
Semantic Graph Convolutional Network for Implicit Discourse Relation
  Classification
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification
Yingxue Zhang
Ping Jian
Fandong Meng
Ruiying Geng
Wei Cheng
Jie Zhou
GNN
40
3
0
21 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for
  Session-Aware Recommendation
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
27
43
0
20 Oct 2019
JSCN: Joint Spectral Convolutional Network for Cross Domain
  Recommendation
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Zhiwei Liu
Lei Zheng
Jiawei Zhang
Jiayu Han
Philip S. Yu
24
26
0
18 Oct 2019
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
38
152
0
17 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNN
AI4CE
48
63
0
16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
32
5
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
169
0
15 Oct 2019
Disentangling Interpretable Generative Parameters of Random and
  Real-World Graphs
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
Niklas Stoehr
Emine Yilmaz
Marc Brockschmidt
Jan Stuehmer
BDL
CML
DRL
32
14
0
12 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
22
216
0
12 Oct 2019
Learning Invariant Representations of Social Media Users
Learning Invariant Representations of Social Media Users
Nicholas Andrews
M. Bishop
34
35
0
11 Oct 2019
Link Prediction via Graph Attention Network
Link Prediction via Graph Attention Network
Weiwei Gu
Fei Gao
Xiaodan Lou
Jiang Zhang
GNN
HAI
19
14
0
10 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural
  Networks
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks
Takanori Maehara
Hoang NT
27
29
0
09 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
25
26
0
08 Oct 2019
Generating valid Euclidean distance matrices
Generating valid Euclidean distance matrices
Moritz Hoffmann
Frank Noé
24
56
0
07 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng Jiang
Suhang Wang
Junzhou Huang
Nitesh Chawla
Z. Li
56
162
0
07 Oct 2019
Commonsense Knowledge Base Completion with Structural and Semantic
  Context
Commonsense Knowledge Base Completion with Structural and Semantic Context
Chaitanya Malaviya
Chandra Bhagavatula
Antoine Bosselut
Yejin Choi
35
138
0
07 Oct 2019
Deep Hyperedges: a Framework for Transductive and Inductive Learning on
  Hypergraphs
Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
Josh Payne
GNN
30
24
0
07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian
Long Zhao
Xi Peng
Dimitris N. Metaxas
34
23
0
06 Oct 2019
On Universal Equivariant Set Networks
On Universal Equivariant Set Networks
Nimrod Segol
Y. Lipman
3DPC
25
63
0
06 Oct 2019
GraphZoom: A multi-level spectral approach for accurate and scalable
  graph embedding
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng
Zhiqiang Zhao
Yongyu Wang
Zhiru Zhang
Zhuo Feng
38
106
0
06 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action
  Recognition and Motion Prediction
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
Maosen Li
Siheng Chen
Xu Chen
Ya Zhang
Yanfeng Wang
D. Ebert
3DH
23
187
0
05 Oct 2019
Layout-Graph Reasoning for Fashion Landmark Detection
Layout-Graph Reasoning for Fashion Landmark Detection
Weijiang Yu
Xiaodan Liang
Ke Gong
R. Coelho
Nong Xiao
Liang Lin
29
36
0
04 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network
Learning Robust Representations with Graph Denoising Policy Network
Lu Wang
Wenchao Yu
Wei Wang
Wei Cheng
Wei Zhang
H. Zha
Xiaofeng He
Haifeng Chen
OOD
16
26
0
04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
M. Liakata
GNN
42
3
0
03 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
22
75
0
01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
19
27
0
01 Oct 2019
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums
Rohan Chandra
Uttaran Bhattacharya
Trisha Mittal
Xiaoyu Li
Aniket Bera
Tianyi Zhou
34
25
0
30 Sep 2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene
  Classification
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
3DPC
39
8
0
30 Sep 2019
I Know You'll Be Back: Interpretable New User Clustering and Churn
  Prediction on a Mobile Social Application
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
Carl Yang
Xiaolin Shi
Luo Jie
Jiawei Han
HAI
30
82
0
29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks
Neural Embedding Propagation on Heterogeneous Networks
Carl Yang
Jieyu Zhang
Jiawei Han
32
20
0
29 Sep 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
840
0
28 Sep 2019
Learning Category Correlations for Multi-label Image Recognition with
  Graph Networks
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li
Xiaojiang Peng
Yu Qiao
Qiang Peng
34
22
0
28 Sep 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
29
0
0
26 Sep 2019
Quantum Graph Neural Networks
Quantum Graph Neural Networks
Guillaume Verdon
Trevor McCourt
Enxhell Luzhnica
Vikas Singh
Stefan Leichenauer
Jack Hidary
GNN
23
106
0
26 Sep 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
27
129
0
26 Sep 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph
  Convolutional Network
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
Sheng Wan
Chen Gong
P. Zhong
Shirui Pan
Guangyu Li
Jian Yang
29
146
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
39
63
0
26 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch
Bryan Perozzi
24
19
0
25 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma
Meng Qu
Kenji Kawaguchi
Alex Lamb
Yoshua Bengio
Arno Solin
Jian Tang
33
62
0
25 Sep 2019
A Generative Model for Molecular Distance Geometry
A Generative Model for Molecular Distance Geometry
G. Simm
José Miguel Hernández-Lobato
GAN
38
107
0
25 Sep 2019
Semi-supervised classification on graphs using explicit diffusion
  dynamics
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
GNN
DiffM
16
15
0
24 Sep 2019
Layerwise Relevance Visualization in Convolutional Text Graph
  Classifiers
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg
Marc Hübner
David Harbecke
Christoph Alt
Leonhard Hennig
FAtt
GNN
18
69
0
24 Sep 2019
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