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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 / 847 papers shown
Title
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
66
47
0
09 Apr 2019
Adaptively Connected Neural Networks
Adaptively Connected Neural Networks
Guangrun Wang
Keze Wang
Liang Lin
70
47
0
07 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
160
245
0
04 Apr 2019
Equivariant Multi-View Networks
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
77
98
0
01 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedImGNN
88
59
0
31 Mar 2019
Learning Discrete Structures for Graph Neural Networks
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi
Mathias Niepert
Massimiliano Pontil
X. He
GNN
102
414
0
28 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces
MeshGAN: Non-linear 3D Morphable Models of Faces
Shiyang Cheng
M. Bronstein
Yuxiang Zhou
I. Kotsia
Maja Pantic
Stefanos Zafeiriou
CVBM3DHGAN
72
81
0
25 Mar 2019
Deep Eikonal Solvers
Deep Eikonal Solvers
M. Lichtenstein
Gautam Pai
Ron Kimmel
75
14
0
19 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
60
34
0
11 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
157
262
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
295
4,375
0
06 Mar 2019
Generalizing Graph Convolutional Neural Networks with Edge-Variant
  Recursions on Graphs
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
43
6
0
04 Mar 2019
Disentangled Representation Learning for 3D Face Shape
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang
Qianyi Wu
Keyu Chen
Juyong Zhang
DRL3DHCoGeCVBM
44
110
0
26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng
Yinpeng Dong
Jun Zhu
GNN
99
63
0
25 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OODAAMLGNN
143
574
0
22 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
303
3,195
0
19 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster
  Pooling
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello
Davide Abati
Simone Calderara
Rita Cucchiara
33
11
0
13 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node
  Classification
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
Fenyu Hu
Yanqiao Zhu
Shu Wu
Liang Wang
Tieniu Tan
GNN
56
7
0
13 Feb 2019
Context-Aware Visual Compatibility Prediction
Context-Aware Visual Compatibility Prediction
Guillem Cucurull
Perouz Taslakian
David Vazquez
87
99
0
10 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti
Fabrizio Frasca
D. Eynard
Damon Mannion
M. Bronstein
GNN
113
470
0
10 Feb 2019
Differentiable Physics-informed Graph Networks
Differentiable Physics-informed Graph Networks
Sungyong Seo
Yan Liu
PINNAI4CE
94
67
0
08 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward James Smith
Scott Fujimoto
Adriana Romero
David Meger
67
91
0
31 Jan 2019
On the Transferability of Spectral Graph Filters
On the Transferability of Spectral Graph Filters
Ron Levie
Elvin Isufi
Gitta Kutyniok
77
64
0
29 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li
Xiao-Ming Wu
Han Liu
Xiaotong Zhang
Zhichao Guan
86
168
0
28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
77
1
0
24 Jan 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
114
632
0
23 Jan 2019
Multiple Graph Adversarial Learning
Multiple Graph Adversarial Learning
Bo Jiang
Ziyan Zhang
Jin Tang
Bin Luo
46
1
0
22 Jan 2019
Convolutional Neural Networks on non-uniform geometrical signals using
  Euclidean spectral transformation
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
C. Jiang
Dequan Wang
Jingwei Huang
P. Marcus
Matthias Nießner
3DPC
62
16
0
07 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
141
399
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
843
8,624
0
03 Jan 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
99
50
0
27 Dec 2018
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
166
508
0
24 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.2K
5,588
0
20 Dec 2018
ABC: A Big CAD Model Dataset For Geometric Deep Learning
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch
Albert Matveev
Zhongshi Jiang
Francis Williams
Alexey Artemov
Evgeny Burnaev
M. Alexa
Denis Zorin
Daniele Panozzo
3DPC3DV
96
465
0
15 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
207
1,342
0
11 Dec 2018
Unsupervised Deep Learning for Structured Shape Matching
Unsupervised Deep Learning for Structured Shape Matching
Jean-Michel Roufosse
Abhishek Sharma
M. Ovsjanikov
3DPC
97
139
0
10 Dec 2018
Self-supervised Learning of Dense Shape Correspondence
Self-supervised Learning of Dense Shape Correspondence
Oshri Halimi
Or Litany
Emanuele Rodolà
A. Bronstein
Ron Kimmel
3DPC
67
23
0
06 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike
  Local Tangent Space Estimation
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
Zhiyu Sun
Ethan Rooke
Jerome Charton
Yusen He
Jia Lu
Stephen Seung-Yeob Baek
61
21
0
03 Dec 2018
TextureNet: Consistent Local Parametrizations for Learning from
  High-Resolution Signals on Meshes
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
Jingwei Huang
Haotian Zhang
L. Yi
Thomas Funkhouser
Matthias Nießner
Leonidas Guibas
3DPC3DV
97
118
0
30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark Coates
Deniz Üstebay
GNNBDL
91
229
0
27 Nov 2018
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
Erhan Gundogdu
Victor Constantin
Amrollah Seifoddini
Minh Dang
Mathieu Salzmann
Pascal Fua
AI4CE3DH3DPC
81
138
0
27 Nov 2018
Graph Learning-Convolutional Networks
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNNSSL
39
5
0
25 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in
  Molecules
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Boris Knyazev
Xiao Lin
Mohamed R. Amer
Graham W. Taylor
GNN
67
31
0
23 Nov 2018
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D
  Spherical Voxel Convolution
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
Yang You
Yujing Lou
Qi Liu
Yu-Wing Tai
Lizhuang Ma
Cewu Lu
Weiming Wang
3DPC
101
66
0
23 Nov 2018
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph
  Convolutional Networks
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
42
40
0
21 Nov 2018
Hierarchical Bipartite Graph Convolution Networks
Hierarchical Bipartite Graph Convolution Networks
Marcel Nassar
GNN
33
18
0
17 Nov 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
176
1,372
0
14 Nov 2018
Gaussian-Induced Convolution for Graphs
Gaussian-Induced Convolution for Graphs
Jiatao Jiang
Zhen Cui
Chunyan Xu
Jian Yang
73
24
0
11 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
129
193
0
05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lio
GNN
219
260
0
03 Nov 2018
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