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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"

20 / 520 papers shown
Title
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV3DPC
246
777
0
30 Mar 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
65
540
0
27 Mar 2018
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
F. Groh
P. Wieschollek
Hendrik P. A. Lensch
3DPC
108
111
0
20 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
160
940
0
12 Mar 2018
Matching Convolutional Neural Networks without Priors about Data
Matching Convolutional Neural Networks without Priors about Data
Carlos Lassance
Jean-Charles Vialatte
Vincent Gripon
GNNMedIm
37
6
0
27 Feb 2018
Spectrally approximating large graphs with smaller graphs
Spectrally approximating large graphs with smaller graphs
Andreas Loukas
P. Vandergheynst
94
106
0
21 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
GNNAI4TS
165
758
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
68
7
0
15 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNNBDL
192
859
0
09 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
620
6,211
0
24 Jan 2018
Multi-Objective De Novo Drug Design with Conditional Graph Generative
  Model
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li
L. Zhang
Zhenming Liu
112
343
0
18 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
150
766
0
10 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
104
76
0
19 Dec 2017
Mining Point Cloud Local Structures by Kernel Correlation and Graph
  Pooling
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
3DPC
76
33
0
19 Dec 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
227
1,261
0
27 Nov 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
198
442
0
24 Nov 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
141
309
0
28 Oct 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
146
7
0
10 Aug 2017
Graph Convolution: A High-Order and Adaptive Approach
Graph Convolution: A High-Order and Adaptive Approach
Zhenpeng Zhou
Xiaocheng Li
GNN
75
23
0
29 Jun 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
100
984
0
04 Apr 2017
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