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Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016
M. Defferrard
Xavier Bresson
P. Vandergheynst
    GNN
ArXivPDFHTML

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

50 / 1,171 papers shown
Title
Graph Inference Learning for Semi-supervised Classification
Graph Inference Learning for Semi-supervised Classification
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Jian Yang
Wei Liu
24
30
0
17 Jan 2020
Tensor Graph Convolutional Networks for Text Classification
Tensor Graph Convolutional Networks for Text Classification
Xien Liu
Xinxin You
Xiao Zhang
Ji Wu
Ping Lv
GNN
24
244
0
12 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from
  Graph Topology to Applications
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications
Ljubisa Stankovic
Danilo P. Mandic
M. Daković
M. Brajović
Bruno Scalzo
Shengxi Li
A. Constantinides
31
23
0
02 Jan 2020
Graph-FCN for image semantic segmentation
Graph-FCN for image semantic segmentation
Yi Lu
Yaran Chen
Dongbin Zhao
Jianxin Chen
GNN
SSeg
19
124
0
02 Jan 2020
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CE
GNN
51
277
0
29 Dec 2019
Multi-Label Graph Convolutional Network Representation Learning
Multi-Label Graph Convolutional Network Representation Learning
Min Shi
Yufei Tang
Xingquan Zhu
Jianxun Liu
28
23
0
26 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient
  Learning
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Min Shi
Yufei Tang
Xingquan Zhu
Jianxun Liu
GNN
28
11
0
26 Dec 2019
Deep Graph Similarity Learning: A Survey
Deep Graph Similarity Learning: A Survey
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
Philip S. Yu
GNN
21
77
0
25 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition
Multi-Graph Transformer for Free-Hand Sketch Recognition
Peng Xu
Chaitanya K. Joshi
Xavier Bresson
ViT
25
85
0
24 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise?
How Robust Are Graph Neural Networks to Structural Noise?
James Fox
S. Rajamanickam
NoLa
OOD
14
21
0
21 Dec 2019
Vertex Feature Encoding and Hierarchical Temporal Modeling in a
  Spatial-Temporal Graph Convolutional Network for Action Recognition
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
Konstantinos Papadopoulos
Enjie Ghorbel
Djamila Aouada
Björn E. Ottersten
GNN
93
42
0
20 Dec 2019
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural
  Dialogue
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue
Gaurav Kumar
Rishabh Joshi
Jaspreet Singh
Promod Yenigalla
23
7
0
04 Dec 2019
Continuous Graph Neural Networks
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
27
150
0
02 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
16
8
0
30 Nov 2019
Dual-Attention Graph Convolutional Network
Dual-Attention Graph Convolutional Network
Xueyao Zhang
Tong Zhang
Wenting Zhao
Zhen Cui
Jian Yang
GNN
25
8
0
28 Nov 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for
  Traffic Forecasting
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
Weiqiu Chen
Ling Chen
Yu Xie
Wei Cao
Yusong Gao
Xiaojie Feng
AI4TS
30
291
0
27 Nov 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
30
94
0
26 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph
  Representations
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan
Soumya Sanyal
Partha P. Talukdar
GNN
23
330
0
18 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
51
154
0
18 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph
  Convolutional Networks
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou
Ziniu Hu
Yewen Wang
Song Jiang
Yizhou Sun
Quanquan Gu
GNN
25
278
0
17 Nov 2019
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
27
97
0
17 Nov 2019
Hierarchical Graph Pooling with Structure Learning
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang
Jiajun Bu
Martin Ester
Jianfeng Zhang
Chengwei Yao
Zhi Yu
Can Wang
30
174
0
14 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong
Lei Chen
M. Bronstein
S. Zafeiriou
3DH
21
145
0
13 Nov 2019
Constant Curvature Graph Convolutional Networks
Constant Curvature Graph Convolutional Networks
Gregor Bachmann
Gary Bécigneul
O. Ganea
GNN
27
133
0
12 Nov 2019
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
17
15
0
12 Nov 2019
Learning Graph Convolutional Network for Skeleton-based Human Action
  Recognition by Neural Searching
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Wei Peng
Xiaopeng Hong
Haoyu Chen
Guoying Zhao
GNN
40
323
0
11 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TS
AI4CE
46
1,346
0
11 Nov 2019
Community-preserving Graph Convolutions for Structural and Functional
  Joint Embedding of Brain Networks
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
Jiahao Liu
Guixiang Ma
Fei Jiang
Chun-Ta Lu
Philip S. Yu
A. Ragin
17
26
0
08 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
33
12
0
08 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
22
815
0
08 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale
  brain imaging datasets
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets
Meimei Liu
Zhengwu Zhang
David B. Dunson
21
4
0
07 Nov 2019
Graph Transformer Networks
Graph Transformer Networks
Seongjun Yun
Minbyul Jeong
Raehyun Kim
Jaewoo Kang
Hyunwoo J. Kim
72
946
0
06 Nov 2019
Infusing Knowledge into the Textual Entailment Task Using Graph
  Convolutional Networks
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Pavan Kapanipathi
Veronika Thost
S. Patel
Spencer Whitehead
Ibrahim Abdelaziz
...
R. Chulaka Gunasekara
B. Makni
Nicholas Mattei
Kartik Talamadupula
Achille Fokoue
42
45
0
05 Nov 2019
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
18
2
0
04 Nov 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
45
371
0
28 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
56
687
0
28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any
  Architecture are Gaussian Processes
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
33
193
0
28 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
80
0
25 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
151
0
17 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
56
186
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
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 V. Chawla
Z. Li
56
162
0
07 Oct 2019
Text Level Graph Neural Network for Text Classification
Text Level Graph Neural Network for Text Classification
Lianzhe Huang
Dehong Ma
Sujian Li
Xiaodong Zhang
Houfeng WANG
GNN
44
262
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
186
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
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