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Geometric deep learning on graphs and manifolds using mixture model CNNs
v1v2v3 (latest)

Geometric deep learning on graphs and manifolds using mixture model CNNs

25 November 2016
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
    GNN
ArXiv (abs)PDFHTML

Papers citing "Geometric deep learning on graphs and manifolds using mixture model CNNs"

50 / 862 papers shown
GMLS-Nets: A framework for learning from unstructured data
GMLS-Nets: A framework for learning from unstructured data
Nathaniel Trask
Ravi G. Patel
B. Gross
P. Atzberger
213
41
0
07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification
NEAR: Neighborhood Edge AggregatoR for Graph ClassificationACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019
Cheolhyeong Kim
Haeseong Moon
H. Hwang
GNN
196
7
0
06 Sep 2019
Context-Aware Graph Attention Networks
Context-Aware Graph Attention Networks
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
93
4
0
04 Sep 2019
GmCN: Graph Mask Convolutional Network
GmCN: Graph Mask Convolutional Network
A. Jung
Beibei Wang
Jin Tang
Bin Luo
138
1
0
04 Sep 2019
Predicting Animation Skeletons for 3D Articulated Models via Volumetric
  Nets
Predicting Animation Skeletons for 3D Articulated Models via Volumetric NetsInternational Conference on 3D Vision (3DV), 2019
Zhan Xu
Yang Zhou
E. Kalogerakis
Karan Singh
3DH
243
55
0
22 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning AttacksWeb Search and Data Mining (WSDM), 2019
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OODAAML
421
192
0
20 Aug 2019
Probabilistic Reconstruction Networks for 3D Shape Inference from a
  Single Image
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single ImageBritish Machine Vision Conference (BMVC), 2019
Roman Klokov
Jakob Verbeek
Edmond Boyer
3DV
119
13
0
20 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision SensingIEEE International Conference on Computer Vision (ICCV), 2019
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
178
186
0
19 Aug 2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation
  Network
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
153
1
0
14 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
222
350
0
14 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
106
1
0
06 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional NetworksComputational Intelligence and Neuroscience (CIN), 2019
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
164
16
0
02 Aug 2019
Learning to Adapt Invariance in Memory for Person Re-identification
Learning to Adapt Invariance in Memory for Person Re-identificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Zhun Zhong
Liang Zheng
Shaozi Li
Shaozi Li
Yezhou Yang
OOD
255
196
0
01 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural NetworksJournal of machine learning research (JMLR), 2019
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
452
139
0
30 Jul 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres
Orientation-aware Semantic Segmentation on Icosahedron SpheresIEEE International Conference on Computer Vision (ICCV), 2019
Chao Zhang
Stephan Liwicki
William A. P. Smith
R. Cipolla
201
88
0
30 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node ClassificationInternational Conference on Learning Representations (ICLR), 2019
Yu Rong
Wenbing Huang
Qifeng Bai
Junzhou Huang
654
1,528
0
25 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and
  Classification
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng
Jiawei Zhang
GNN
114
20
0
22 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph NetworksBritish Machine Vision Conference (BMVC), 2019
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNNBDL
196
38
0
21 Jul 2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph
  Convolutional Network
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
Bo Jiang
Xixi Wang
Bin Luo
192
20
0
20 Jul 2019
Deep Graph-Convolutional Image Denoising
Deep Graph-Convolutional Image DenoisingIEEE Transactions on Image Processing (TIP), 2019
D. Valsesia
Giulia Fracastoro
E. Magli
GNNSSL
156
152
0
19 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph DrawingIEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
183
69
0
17 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural NetworksNeural Networks (NN), 2019
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
170
77
0
10 Jul 2019
Dimensional Reweighting Graph Convolutional Networks
Dimensional Reweighting Graph Convolutional Networks
Xu Zou
Qiuye Jia
Jianwei Zhang
Chang Zhou
Hongxia Yang
Jie Tang
GNN
156
8
0
04 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
440
44
0
30 Jun 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
Effective Rotation-invariant Point CNN with Spherical Harmonics kernelsInternational Conference on 3D Vision (3DV), 2019
A. Poulenard
Marie-Julie Rakotosaona
Yann Ponty
M. Ovsjanikov
3DPC
254
114
0
27 Jun 2019
Mapped Convolutions
Mapped Convolutions
Marc Eder
True Price
Thanh Tien Vu
Akash Bapat
Jan-Michael Frahm
132
29
0
26 Jun 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
134
46
0
21 Jun 2019
ANAE: Learning Node Context Representation for Attributed Network
  Embedding
ANAE: Learning Node Context Representation for Attributed Network Embedding
Keting Cen
Huawei Shen
Jinhua Gao
Qi Cao
Bingbing Xu
Xueqi Cheng
GNN
133
1
0
20 Jun 2019
ParNet: Position-aware Aggregated Relation Network for Image-Text
  matching
ParNet: Position-aware Aggregated Relation Network for Image-Text matching
Yaxian Xia
Lun Huang
Wenmin Wang
Xiao-Yong Wei
Jie Chen
178
2
0
17 Jun 2019
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the
  Deep Learning Era
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning EraIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Xian-Feng Han
Hamid Laga
Bennamoun
3DV
256
395
0
15 Jun 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation
A Two-Step Graph Convolutional Decoder for Molecule Generation
Xavier Bresson
T. Laurent
120
66
0
08 Jun 2019
Cormorant: Covariant Molecular Neural Networks
Cormorant: Covariant Molecular Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Brandon M. Anderson
Truong-Son Hy
Risi Kondor
445
469
0
06 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
  Networks
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2019
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
276
169
0
05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of
  Graph Data and Adversarial Settings
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
BDLGNN
394
10
0
05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph ModelingInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNNAI4TS
466
2,762
0
31 May 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on
  Point Clouds
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point CloudsJournal of Scientific Computing (J. Sci. Comput.), 2019
P. Jin
Tianhao Lai
Rongjie Lai
Bin Dong
3DPC
198
3
0
29 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph NetworksNeural Information Processing Systems (NeurIPS), 2019
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
521
640
0
27 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-EncodersIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019
Amin Salehi
H. Davulcu
GNN
101
153
0
26 May 2019
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming ObjectsEuropean Conference on Computer Vision (ECCV), 2019
E. Tretschk
A. Tewari
Michael Zollhöfer
Vladislav Golyanik
Christian Theobalt
AI4CE3DV
150
44
0
24 May 2019
Rank3DGAN: Semantic mesh generation using relative attributes
Rank3DGAN: Semantic mesh generation using relative attributesAAAI Conference on Artificial Intelligence (AAAI), 2019
Y. Saquil
Qun-Ce Xu
Yong-Liang Yang
P. Hall
GAN
166
5
0
24 May 2019
ncRNA Classification with Graph Convolutional Networks
ncRNA Classification with Graph Convolutional Networks
Emanuele Rossi
Federico Monti
M. Bronstein
Pietro Lio
MedImGNN
146
33
0
16 May 2019
Graph Convolutional Gaussian Processes
Graph Convolutional Gaussian ProcessesInternational Conference on Machine Learning (ICML), 2019
Ian Walker
Ben Glocker
GNN
206
37
0
14 May 2019
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
Lin-Zhuo Chen
Xuan-Yi Li
Deng-Ping Fan
Kai Wang
Shao-Ping Lu
Ming-Ming Cheng
3DPC
188
37
0
14 May 2019
Graph U-Nets
Graph U-NetsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Hongyang Gao
Shuiwang Ji
AI4CESSLSSegGNN
575
1,216
0
11 May 2019
Deep Closest Point: Learning Representations for Point Cloud
  Registration
Deep Closest Point: Learning Representations for Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2019
Yue Wang
Justin Solomon
3DPC
238
975
0
08 May 2019
Adaptive Image-Feature Learning for Disease Classification Using
  Inductive Graph Networks
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Hendrik Burwinkel
Anees Kazi
G. Vivar
Shadi Albarqouni
G. Zahnd
Nassir Navab
Seyed-Ahmad Ahmadi
AI4CE
153
15
0
08 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and GenerationIEEE International Conference on Computer Vision (ICCV), 2019
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
Stefanos Zafeiriou
MedIm3DH
291
179
0
08 May 2019
Understanding Attention and Generalization in Graph Neural Networks
Understanding Attention and Generalization in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Boris Knyazev
Graham W. Taylor
Mohamed R. Amer
GNN
317
379
0
08 May 2019
Single Image 3D Hand Reconstruction with Mesh Convolutions
Single Image 3D Hand Reconstruction with Mesh ConvolutionsBritish Machine Vision Conference (BMVC), 2019
Dominik Kulon
Haoyang Wang
R. Güler
M. Bronstein
Stefanos Zafeiriou
3DH
281
62
0
04 May 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for
  Real-Time Point Cloud Shape Completion
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape CompletionComputer Vision and Pattern Recognition (CVPR), 2019
M. Sarmad
H. J. Lee
Y. Kim
3DPC
209
198
0
28 Apr 2019
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