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Deep Convolutional Networks on Graph-Structured Data

Deep Convolutional Networks on Graph-Structured Data

16 June 2015
Mikael Henaff
Joan Bruna
Yann LeCun
    GNN
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Papers citing "Deep Convolutional Networks on Graph-Structured Data"

50 / 316 papers shown
Title
Diffusion Scattering Transforms on Graphs
Diffusion Scattering Transforms on Graphs
Fernando Gama
Alejandro Ribeiro
Joan Bruna
GNN
42
100
0
22 Jun 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCL
AI4CE
27
249
0
21 Jun 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike
  Convolutional Neural Networks
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
Zhiyu Sun
Jia Lu
Stephen Seung-Yeob Baek
21
0
0
20 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
121
3,087
0
04 Jun 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
42
595
0
04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
Graph Capsule Convolutional Neural Networks
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
35
128
0
21 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural
  Networks on Manifolds
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds
Stefan C. Schonsheck
Bin Dong
Rongjie Lai
26
22
0
21 May 2018
Graph Edge Convolutional Neural Networks for Skeleton Based Action
  Recognition
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition
Xikun Zhang
Chang Xu
Xinmei Tian
Dacheng Tao
3DH
GNN
33
157
0
16 May 2018
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal
  Stack Learning
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Chenyang Si
Ya Jing
Wei Wang
Liang Wang
Tieniu Tan
33
351
0
07 May 2018
Walk-Steered Convolution for Graph Classification
Walk-Steered Convolution for Graph Classification
Jiatao Jiang
Chunyan Xu
Zhen Cui
Tong Zhang
Chengzhen Li
Jian Yang
GNN
25
12
0
16 Apr 2018
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li Li
Li Fei-Fei
Abhinav Gupta
LRM
GNN
51
214
0
29 Mar 2018
Convolutional Neural Networks for Toxic Comment Classification
Convolutional Neural Networks for Toxic Comment Classification
S. Georgakopoulos
S. Tasoulis
Aristidis G. Vrahatis
V. Plagianakos
27
217
0
27 Feb 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
28
77
0
26 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
  Framework for Network-Scale Traffic Learning and Forecasting
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui
Kristian C. Henrickson
Ruimin Ke
Ziyuan Pu
Yinhai Wang
GNN
AI4TS
47
740
0
20 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Evgheniy Faerman
Felix Borutta
Julian Busch
Matthias Schubert
41
7
0
15 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
35
93
0
14 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs
MotifNet: a motif-based Graph Convolutional Network for directed graphs
Federico Monti
Karl Otness
M. Bronstein
GNN
31
144
0
04 Feb 2018
Complex Network Classification with Convolutional Neural Network
Complex Network Classification with Convolutional Neural Network
Ruyue Xin
Jiang Zhang
Yi Shao
GNN
38
111
0
02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
64
1,506
0
30 Jan 2018
HONE: Higher-Order Network Embeddings
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
29
22
0
28 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
101
4,095
0
23 Jan 2018
A graph-embedded deep feedforward network for disease outcome
  classification and feature selection using gene expression data
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data
Yunchuan Kong
Tianwei Yu
AI4CE
27
94
0
18 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
26
747
0
10 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
33
165
0
07 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
40
76
0
19 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the
  Gaussian Mixture Model
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Bo Wu
Yang Liu
B. Lang
Lei Huang
27
69
0
10 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
31
223
0
01 Dec 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
36
438
0
24 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
36
465
0
20 Nov 2017
Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
SungMin Rhee
Seokjun Seo
Sun Kim
GNN
34
173
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
54
1,230
0
10 Nov 2017
Kernel Graph Convolutional Neural Networks
Kernel Graph Convolutional Neural Networks
Giannis Nikolentzos
Polykarpos Meladianos
A. Tixier
Konstantinos Skianis
Michalis Vazirgiannis
GNN
24
60
0
29 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
32
132
0
28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
53
1,782
0
22 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan
Lin Gao
Yu-Kun Lai
Jie Yang
Shi-hong Xia
35
64
0
13 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GAN
AI4CE
25
25
0
11 Sep 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
33
7
0
10 Aug 2017
Graph-Based Classification of Omnidirectional Images
Graph-Based Classification of Omnidirectional Images
Renata Khasanova
P. Frossard
32
71
0
26 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
46
639
0
12 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
55
1,053
0
26 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
26
25
0
16 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
25
5
0
08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
27
53
0
08 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei
Wengong Jin
Regina Barzilay
Tommi Jaakkola
GNN
45
137
0
25 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
44
658
0
22 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
35
1,721
0
08 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas J. Guibas
3DV
61
185
0
05 May 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
24
87
0
26 Apr 2017
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