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Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
v1v2v3 (latest)

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017
M. Simonovsky
N. Komodakis
    GNN
ArXiv (abs)PDFHTMLGithub (232★)

Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

50 / 520 papers shown
Title
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
Maria Liakata
GNN
69
3
0
03 Oct 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
128
8
0
30 Sep 2019
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng
Liang Zhang
Xuefei Lin
Syed Zulqarnain Gilani
Ajmal Mian
3DPC
141
152
0
27 Sep 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
  Segmentation
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang
Hengshuang Zhao
Shu Liu
Xiaoyong Shen
Chi-Wing Fu
Jiaya Jia
3DPC
87
194
0
23 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer
  Learning
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedMLGNNSSL
77
9
0
22 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
111
168
0
20 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
204
273
0
09 Sep 2019
Adaptive Graph Representation Learning for Video Person
  Re-identification
Adaptive Graph Representation Learning for Video Person Re-identification
Yiming Wu
Omar Elfarouk Bourahla
Xi Li
Leilei Gan
Q. Tian
Xue Zhou
98
121
0
05 Sep 2019
Understanding Human Gaze Communication by Spatio-Temporal Graph
  Reasoning
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
Lifeng Fan
Wenguan Wang
Siyuan Huang
Xinyu Tang
Song-Chun Zhu
97
110
0
04 Sep 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D
  Shapes
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
121
4
0
24 Aug 2019
Dynamic Graph Message Passing Networks
Dynamic Graph Message Passing Networks
Li Zhang
Dan Xu
Anurag Arnab
Philip Torr
GNN
121
138
0
19 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
71
167
0
19 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV3DPC
192
789
0
13 Aug 2019
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao
Xiaogang Wang
Hongsheng Li
3DPC
84
218
0
13 Aug 2019
Progressive Relation Learning for Group Activity Recognition
Progressive Relation Learning for Group Activity Recognition
Guyue Hu
Bo Cui
Yuan He
Shan Yu
92
81
0
08 Aug 2019
Sparse hierarchical representation learning on molecular graphs
Sparse hierarchical representation learning on molecular graphs
M. Bal
Hagen Triendl
Mariana Assmann
M. Craig
Lawrence Phillips
J. Frost
Usman Bashir
Noor Shaker
V. Stojevic
GNN
56
1
0
06 Aug 2019
Learning Guided Convolutional Network for Depth Completion
Learning Guided Convolutional Network for Depth Completion
Jie Tang
Fei-Peng Tian
Wei Feng
Jian Li
P. Tan
3DV
94
240
0
03 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong
Mengye Ren
Renjie Liao
K. Wong
R. Urtasun
3DPC
80
17
0
30 Jul 2019
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous
  Convolution for Unorganized 3D Points
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
Liang Pan
C. Chew
Gim Hee Lee
3DPC
62
8
0
23 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNNBDL
84
35
0
21 Jul 2019
Deep Graph-Convolutional Image Denoising
Deep Graph-Convolutional Image Denoising
D. Valsesia
Giulia Fracastoro
E. Magli
GNNSSL
66
145
0
19 Jul 2019
A review on deep learning techniques for 3D sensed data classification
A review on deep learning techniques for 3D sensed data classification
David J. Griffiths
Jan Boehm
3DPC3DV
105
166
0
09 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao
H. Xiong
P. Frossard
89
41
0
01 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
Cesare Alippi
GNN
151
40
0
30 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
67
6
0
26 Jun 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
Salman H. Khan
Yulan Guo
Munawar Hayat
Nick Barnes
62
33
0
09 Jun 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
109
54
0
31 May 2019
Image Denoising with Graph-Convolutional Neural Networks
Image Denoising with Graph-Convolutional Neural Networks
D. Valsesia
Giulia Fracastoro
E. Magli
58
45
0
29 May 2019
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic
  Forecasting
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee
Wonjong Rhee
AI4TSGNN
93
113
0
29 May 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transport
Vikas Garg
Tommi Jaakkola
OT
76
16
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
464
0
27 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
152
583
0
27 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
86
21
0
21 May 2019
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with
  Neural Networks
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks
X. Nguyen
Luc Brun
O. Lézoray
Sébastien Bougleux
3DHSLR
47
10
0
20 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud
  Processing
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
84
14
0
18 May 2019
Representation Learning on Visual-Symbolic Graphs for Video
  Understanding
Representation Learning on Visual-Symbolic Graphs for Video Understanding
E. Mavroudi
Benjamín Béjar Haro
René Vidal
154
8
0
17 May 2019
Graph Attribute Aggregation Network with Progressive Margin Folding
Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun
J. Qu
Xiaoqing Lyu
Haibin Ling
Zhi Tang
GNN
26
3
0
14 May 2019
On Graph Classification Networks, Datasets and Baselines
On Graph Classification Networks, Datasets and Baselines
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
66
19
0
12 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph
  Classification
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting-Li Chen
Song Bian
Yizhou Sun
112
88
0
11 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CESSLSSegGNN
217
1,097
0
11 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
201
338
0
30 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
340
2,569
0
18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume
An-phi Nguyen
María Rodríguez Martínez
Jean-Philippe Thiran
M. Gabrani
71
22
0
18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
3DPC
186
901
0
16 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
3DPC
70
108
0
11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
128
117
0
11 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
193
1,357
0
07 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for
  Graph Classification
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification
Lu Bai
Lixin Cui
Yuhang Jiao
Luca Rossi
Edwin R. Hancock
GNN
53
58
0
06 Apr 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
3DPC
75
153
0
03 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via
  Graph-Graph Proximity
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
Yunsheng Bai
Haoyang Ding
Yang Qiao
Agustin Marinovic
Ken Gu
Tingting Chen
Yizhou Sun
Wei Wang
120
10
0
01 Apr 2019
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