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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
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
39
483
0
25 Mar 2019
Node Embedding over Temporal Graphs
Node Embedding over Temporal Graphs
Uriel Singer
Ido Guy
Kira Radinsky
24
149
0
21 Mar 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View
  Graph Convolutional Networks
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Junkai Sun
Junbo Zhang
Qiaofei Li
Xiuwen Yi
Yuxuan Liang
Yu Zheng
AI4TS
26
163
0
19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
Minyi Guo
27
912
0
18 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action
  Classifier for Anomaly Detection
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
24
397
0
18 Mar 2019
A Skeleton-bridged Deep Learning Approach for Generating Meshes of
  Complex Topologies from Single RGB Images
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
Jiapeng Tang
Xiaoguang Han
J. Pan
Kui Jia
Xin Tong
3DH
3DV
30
86
0
12 Mar 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
65
185
0
12 Mar 2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for
  Disease Prediction
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi
Shayan Shekarforoush
S. Krishna
Hendrik Burwinkel
G. Vivar
K. Kortüm
Seyed-Ahmad Ahmadi
Shadi Albarqouni
Nassir Navab
GNN
MedIm
21
146
0
11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
44
1,294
0
10 Mar 2019
Program Classification Using Gated Graph Attention Neural Network for
  Online Programming Service
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu
Dingwu Tan
N. Xiong
Zailiang Chen
Haifeng Li
24
11
0
09 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie
Mingming Lu
FAtt
GNN
39
16
0
09 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based
  Image Retrieval
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Anjan Dutta
Zeynep Akata
35
143
0
08 Mar 2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory
  Prediction
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
Pu Zhang
Wanli Ouyang
Pengfei Zhang
Jianru Xue
Nanning Zheng
38
454
0
07 Mar 2019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang
Feng Gao
Baoxiong Jia
Yixin Zhu
Song-Chun Zhu
AIMat
32
304
0
07 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
36
258
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
73
4,267
0
06 Mar 2019
Gated Graph Convolutional Recurrent Neural Networks
Gated Graph Convolutional Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
37
30
0
05 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
Meng Qu
Jian Tang
GNN
19
112
0
02 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph
  Structure
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
41
156
0
01 Mar 2019
A Behavioral Approach to Visual Navigation with Graph Localization
  Networks
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen
Juan Pablo de Vicente
G. Sepulveda
Fei Xia
Á. Soto
Nathan Tsoi
Silvio Savarese
GNN
25
100
0
01 Mar 2019
Answer Them All! Toward Universal Visual Question Answering Models
Answer Them All! Toward Universal Visual Question Answering Models
Robik Shrestha
Kushal Kafle
Christopher Kanan
25
82
0
01 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node
  Classification
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
Ke Sun
Zhouchen Lin
Hantao Guo
Zhanxing Zhu
37
24
0
28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
  Graphs with Few Labels
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
Ke Sun
Zhouchen Lin
Zhanxing Zhu
SSL
59
273
0
28 Feb 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
19
141
0
28 Feb 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
29
296
0
28 Feb 2019
Learning to Generate Questions by Learning What not to Generate
Learning to Generate Questions by Learning What not to Generate
Bang Liu
Mingjun Zhao
Di Niu
Kunfeng Lai
Yancheng He
Haojie Wei
Yu-Syuan Xu
OOD
30
102
0
27 Feb 2019
Deep Adversarial Network Alignment
Deep Adversarial Network Alignment
Hanyu Wang
Hamid Karimi
Xiaorui Liu
Jiejun Xu
Jiliang Tang
FedML
GAN
13
48
0
27 Feb 2019
Differentiable Scene Graphs
Differentiable Scene Graphs
Moshiko Raboh
Roei Herzig
Gal Chechik
Jonathan Berant
Amir Globerson
OCL
32
34
0
26 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
57
1,045
0
26 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
37
12
0
26 Feb 2019
Learning Vertex Convolutional Networks for Graph Classification
Learning Vertex Convolutional Networks for Graph Classification
Lu Bai
Lixin Cui
Shu Wu
Yuhang Jiao
Edwin R. Hancock
GNN
24
1
0
26 Feb 2019
Disentangled Representation Learning for 3D Face Shape
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang
Qianyi Wu
Keyu Chen
Juyong Zhang
DRL
3DH
CoGe
CVBM
18
108
0
26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng
Yinpeng Dong
Jun Zhu
GNN
28
64
0
25 Feb 2019
An Attention Enhanced Graph Convolutional LSTM Network for
  Skeleton-Based Action Recognition
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
48
707
0
25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Viet-Anh Tran
Michalis Vazirgiannis
GNN
34
36
0
23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
50
386
0
23 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
32
569
0
22 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen
Jian Zhang
Xuanheng Xu
Chenbo Fu
Dan Zhang
Qingpeng Zhang
Qi Xuan
41
142
0
22 Feb 2019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts
  Framework
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Lei Li
Fuping Wu
Guang Yang
Lingchao Xu
T. Wong
R. Mohiaddin
D. Firmin
J. Keegan
Xiahai Zhuang
MedIm
27
69
0
21 Feb 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective
  with Short-Time Fourier Neural Networks
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Shuochao Yao
Ailing Piao
Wenjun Jiang
Yiran Zhao
Huajie Shao
...
Tianshi Wang
Shaohan Hu
Lu Su
Jiawei Han
Tarek Abdelzaher
AI4TS
38
78
0
21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OOD
AAML
34
220
0
20 Feb 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
Dawei Yin
87
1,863
0
19 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
95
3,127
0
19 Feb 2019
Winning an Election: On Emergent Strategic Communication in Multi-Agent
  Networks
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks
Shubham Gupta
Ambedkar Dukkipati
16
4
0
19 Feb 2019
Integrating Propositional and Relational Label Side Information for
  Hierarchical Zero-Shot Image Classification
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification
Colin Samplawski
H. Kwon
Erik Learned-Miller
Benjamin M. Marlin
VLM
24
1
0
14 Feb 2019
3D Graph Embedding Learning with a Structure-aware Loss Function for
  Point Cloud Semantic Instance Segmentation
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
Zhidong Liang
Ming Yang
Chunxiang Wang
3DPC
24
27
0
14 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster
  Pooling
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello
Davide Abati
Simone Calderara
Rita Cucchiara
24
11
0
13 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
61
404
0
11 Feb 2019
Size Independent Neural Transfer for RDDL Planning
Size Independent Neural Transfer for RDDL Planning
Sankalp Garg
Aniket Bajpai
Mausam
OffRL
19
41
0
08 Feb 2019
Link Prediction via Higher-Order Motif Features
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
27
37
0
08 Feb 2019
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