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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
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMCIEEE Access (IEEE Access), 2021
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNNBDL
319
20
0
17 Apr 2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
Temporally-Coherent Surface Reconstruction via Metric-Consistent AtlasesIEEE International Conference on Computer Vision (ICCV), 2021
Jan Bednarík
Vladimir G. Kim
S. Chaudhuri
Shaifali Parashar
Mathieu Salzmann
Pascal Fua
Noam Aigerman
178
9
0
14 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
259
2
0
12 Apr 2021
Field Convolutions for Surface CNNs
Field Convolutions for Surface CNNsIEEE International Conference on Computer Vision (ICCV), 2021
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
272
24
0
08 Apr 2021
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
Sketch2Mesh: Reconstructing and Editing 3D Shapes from SketchesIEEE International Conference on Computer Vision (ICCV), 2021
Benoît Guillard
Edoardo Remelli
Pierre Yvernay
Pascal Fua
3DV
318
96
0
01 Apr 2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
Picasso: A CUDA-based Library for Deep Learning over 3D MeshesComputer Vision and Pattern Recognition (CVPR), 2021
Huan Lei
Naveed Akhtar
Lin Wang
145
17
0
28 Mar 2021
Rethinking Graph Neural Architecture Search from Message-passing
Rethinking Graph Neural Architecture Search from Message-passingComputer Vision and Pattern Recognition (CVPR), 2021
Shaofei Cai
Liang Li
Jincan Deng
Beichen Zhang
Zhengjun Zha
Li Su
Qingming Huang
GNNAI4CE
289
61
0
26 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence
Dual Mesh Convolutional Networks for Human Shape CorrespondenceInternational Conference on 3D Vision (3DV), 2021
Nitika Verma
A. Boukhayma
Jakob Verbeek
Edmond Boyer
3DH
117
5
0
23 Mar 2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
HeterSkinNet: A Heterogeneous Network for Skin Weights PredictionProceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2021
Xiaoyu Pan
Jiancong Huang
Jiaming Mai
He Wang
Honglin Li
Tongkui Su
Wenjun Wang
Xiaogang Jin
3DH
129
7
0
19 Mar 2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
Ahmed M. Elmoogy
Xiaodai Dong
Tao Lu
Robert Westendorp
K. Reddy
140
10
0
17 Mar 2021
Adversarial Graph Disentanglement
Adversarial Graph DisentanglementIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Shuiwang Ji
Yao Zhao
308
11
0
12 Mar 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A surveyIEEE/CAA Journal of Automatica Sinica (IEEE/CAA J. Autom. Sinica), 2021
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
206
127
0
10 Mar 2021
Implicit Integration of Superpixel Segmentation into Fully Convolutional
  Networks
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks
Teppei Suzuki
SupRSSeg
151
3
0
05 Mar 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding
Graphfool: Targeted Label Adversarial Attack on Graph EmbeddingIEEE Transactions on Computational Social Systems (IEEE TCSS), 2021
Jinyin Chen
Xiang Lin
Dunjie Zhang
Haibin Zheng
Guohan Huang
Hui Xiong
Xiang Lin
AAML
182
5
0
24 Feb 2021
Deep Deformation Detail Synthesis for Thin Shell Models
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen
Lin Gao
Jie Yang
Shibiao Xu
Juntao Ye
Xiaopeng Zhang
Yu-kun Lai
3DHAI4CE
182
12
0
23 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised
  Node Classification
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Jingyi Wang
Zhidong Deng
GNN
101
15
0
19 Feb 2021
Deep Gait Recognition: A Survey
Deep Gait Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Alireza Sepas-Moghaddam
Ali Etemad
CVBM
225
233
0
18 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
489
439
0
18 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets
Learning Conjoint Attentions for Graph Neural NetsNeural Information Processing Systems (NeurIPS), 2021
Tiantian He
Yew-Soon Ong
Lu Bai
GNN
323
74
0
05 Feb 2021
Lookup subnet based Spatial Graph Convolutional neural Network
Lookup subnet based Spatial Graph Convolutional neural Network
Jingzhao Hu
Xiaoqi Zhang
Qiaomei Jia
Chen Wang
Qirong Bu
Jun Feng
GNN
125
0
0
04 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu
Keqiang Yan
Bora Oztekin
Shuiwang Ji
199
100
0
31 Jan 2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
Akila Pemasiri
Kien Nguyen Thanh
Sridha Sridharan
Clinton Fookes
3DH
155
5
0
27 Jan 2021
Identity-aware Graph Neural Networks
Identity-aware Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021
Jiaxuan You
Jonathan M. Gomes-Selman
Rex Ying
J. Leskovec
290
292
0
25 Jan 2021
Edge-Featured Graph Attention Network
Edge-Featured Graph Attention Network
Jun Chen
Hao-peng Chen
GNN
206
46
0
19 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape BiasComputer Vision and Pattern Recognition (CVPR), 2021
Stefan Stojanov
Anh Thai
James M. Rehg
3DPC
228
85
0
18 Jan 2021
Deep Parametric Continuous Convolutional Neural Networks
Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang
Simon Suo
Wei-Chiu Ma
A. Pokrovsky
R. Urtasun
3DPC
190
485
0
17 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion ForecastingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
248
218
0
17 Jan 2021
Learning the Implicit Semantic Representation on Graph-Structured Data
Learning the Implicit Semantic Representation on Graph-Structured DataInternational Conference on Database Systems for Advanced Applications (DASFAA), 2021
Likang Wu
Zhi Li
Hongke Zhao
Qi Liu
Jun Wang
Mengdi Zhang
Enhong Chen
GNN
115
20
0
16 Jan 2021
UCNN: A Convolutional Strategy on Unstructured Mesh
UCNN: A Convolutional Strategy on Unstructured Mesh
Mengfei Xu
Shufang Song
Xuxiang Sun
Weiwei Zhang
AI4CE
63
4
0
12 Jan 2021
SPAGAN: Shortest Path Graph Attention Network
SPAGAN: Shortest Path Graph Attention NetworkInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Yiding Yang
Xinchao Wang
Xiuming Zhang
Junsong Yuan
Dacheng Tao
GNN
359
103
0
10 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
481
716
0
04 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to
  Predict COVID-19 Cases in Germany
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany
Cornelius Fritz
Emilio Dorigatti
David Rügamer
128
20
0
03 Jan 2021
Binary Graph Neural Networks
Binary Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Mehdi Bahri
Gaétan Bahl
Stefanos Zafeiriou
GNNAI4CE
274
58
0
31 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
175
1
0
28 Dec 2020
Knowledge as Invariance -- History and Perspectives of
  Knowledge-augmented Machine Learning
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
143
3
0
21 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object DetectionEuropean Conference on Computer Vision (ECCV), 2018
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
494
906
0
20 Dec 2020
A pipeline for fair comparison of graph neural networks in node
  classification tasks
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
114
6
0
19 Dec 2020
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
580
975
0
17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface
  Translation
Shape My Face: Registering 3D Face Scans by Surface-to-Surface TranslationInternational Journal of Computer Vision (IJCV), 2020
Mehdi Bahri
Eimear O' Sullivan
Shunwang Gong
Feng Liu
Xiaoming Liu
M. Bronstein
Stefanos Zafeiriou
CVBM3DH
254
17
0
16 Dec 2020
Temporal Graph Modeling for Skeleton-based Action Recognition
Temporal Graph Modeling for Skeleton-based Action Recognition
Jianan Li
Xuemei Xie
Zhifu Zhao
Yuhan Cao
Qingzhe Pan
Guangming Shi
152
12
0
16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
615
169
0
16 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural
  Networks
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Renjie Liao
R. Urtasun
R. Zemel
230
104
0
14 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan
Xiaobing Pei
GNNAAML
103
1
0
11 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
261
39
0
09 Dec 2020
Rotation-Invariant Point Convolution With Multiple Equivariant
  Alignments
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments
Hugues Thomas
3DPC
183
12
0
07 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
425
26
0
07 Dec 2020
Learning Equivariant Representations
Learning Equivariant Representations
Carlos Esteves
BDL
201
0
0
04 Dec 2020
Graph Convolutional Neural Networks for Body Force Prediction
Graph Convolutional Neural Networks for Body Force Prediction
Francis Ogoke
Kazem Meidani
Amirreza Hashemi
A. Farimani
GNNAI4CE
130
72
0
03 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on SurfacesACM Transactions on Graphics (TOG), 2020
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
385
268
0
01 Dec 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High
  Energy Physics
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal
Javier Mauricio Duarte
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopoulos
GAN
217
24
0
30 Nov 2020
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