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1609.04508
Cited By
Column Networks for Collective Classification
15 September 2016
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
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Papers citing
"Column Networks for Collective Classification"
23 / 73 papers shown
Title
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
124
1,660
0
14 Oct 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning
Yawei Luo
T. Guan
Junqing Yu
Ping Liu
Yi Yang
SSL
GNN
32
32
0
26 Sep 2018
EEG-based video identification using graph signal modeling and graph convolutional neural network
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
25
49
0
12 Sep 2018
Relational dynamic memory networks
Trang Pham
T. Tran
Svetha Venkatesh
GNN
21
3
0
10 Aug 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,948
0
09 Jun 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Shupeng Gui
Xiangliang Zhang
Shuang Qiu
Mingrui Wu
Jieping Ye
Ji Liu
13
0
0
28 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
37
1,058
0
21 May 2018
Learning on Hypergraphs with Sparsity
Canh Hao Nguyen
Hiroshi Mamitsuka
22
14
0
03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
29
17
0
01 Apr 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
E. Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Percy Liang
OnRL
24
207
0
24 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta
A. De
G. Jana
P. Chattaraj
Niloy Ganguly
Manuel Gomez Rodriguez
GNN
DRL
BDL
DiffM
30
212
0
14 Feb 2018
Graph Memory Networks for Molecular Activity Prediction
Trang Pham
T. Tran
Svetha Venkatesh
GNN
34
30
0
08 Jan 2018
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi
David Poole
NAI
GNN
15
55
0
07 Dec 2017
Motif-based Convolutional Neural Network on Graphs
Aravind Sankar
Xinyang Zhang
Kevin Chen-Chuan Chang
GNN
40
42
0
15 Nov 2017
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
58
1,967
0
17 Sep 2017
Graph Classification via Deep Learning with Virtual Nodes
Trang Pham
T. Tran
K. Dam
Svetha Venkatesh
GNN
28
45
0
14 Aug 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
46
639
0
12 Jul 2017
Recurrent Collective Classification
Shuangfei Fan
Bert Huang
6
11
0
19 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
97
4,745
0
17 Mar 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
NAI
11
829
0
14 Mar 2017
One Size Fits Many: Column Bundle for Multi-X Learning
Trang Pham
T. Tran
Svetha Venkatesh
27
5
0
22 Feb 2017
Large-scale network motif analysis using compression
Peter Bloem
S. D. Rooij
11
3
0
08 Jan 2017
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
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