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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
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
144
24
0
24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Yantao Du
Wei Hu
Zongming Guo
GNN
306
1
0
23 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao
Hong Yang
Peng Zhang
Chuan Zhou
Yue Hu
AI4CEGNN
348
114
0
22 Apr 2019
Graph Element Networks: adaptive, structured computation and memory
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet
Adarsh K. Jeewajee
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
AI4CEGNN
362
86
0
18 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
783
3,013
0
18 Apr 2019
Deep Representation Learning for Social Network Analysis
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Helen Zhou
AI4TSGNN
141
113
0
18 Apr 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
549
1,261
0
17 Apr 2019
Deep Iterative Surface Normal Estimation
Deep Iterative Surface Normal Estimation
J. E. Lenssen
Christian Osendorfer
Jonathan Masci
3DPC
226
1
0
15 Apr 2019
Graph-Based Method for Anomaly Prediction in Brain Network
Graph-Based Method for Anomaly Prediction in Brain Network
Jalal Mirakhorli
H. Amindavar
Mojgan Mirakhorli
MedIm
237
1
0
15 Apr 2019
Graph Wavelet Neural Network
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
189
377
0
12 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
121
126
0
11 Apr 2019
Relational Graph Attention Networks
Relational Graph Attention Networks
Dan Busbridge
Dane Sherburn
Pietro Cavallo
Nils Y. Hammerla
GNN
131
216
0
11 Apr 2019
3D Dense Face Alignment via Graph Convolution Networks
3D Dense Face Alignment via Graph Convolution Networks
Huawei Wei
Shuang Liang
Yichen Wei
3DH3DVCVBM
147
25
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
237
119
0
11 Apr 2019
Topological based classification of paper domains using graph
  convolutional networks
Topological based classification of paper domains using graph convolutional networks
I. Benami
Keren Cohen
Oved Nagar
Y. Louzoun
GNN
73
5
0
10 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
138
51
0
09 Apr 2019
Adaptively Connected Neural Networks
Adaptively Connected Neural Networks
Guangrun Wang
Keze Wang
Liang Lin
148
53
0
07 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
548
267
0
04 Apr 2019
Equivariant Multi-View Networks
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
226
106
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
219
76
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
309
466
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
177
86
0
25 Mar 2019
Deep Eikonal Solvers
Deep Eikonal SolversScale Space and Variational Methods in Computer Vision (SSVM), 2019
M. Lichtenstein
Gautam Pai
Ron Kimmel
116
14
0
19 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
189
35
0
11 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Ninad Kulkarni
Vinayak A. Rao
Bruno Ribeiro
GNN
417
279
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
1.9K
5,035
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 GraphsEuropean Signal Processing Conference (EUSIPCO), 2019
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
156
7
0
04 Mar 2019
Disentangled Representation Learning for 3D Face Shape
Disentangled Representation Learning for 3D Face ShapeComputer Vision and Pattern Recognition (CVPR), 2019
Zi-Hang Jiang
Qianyi Wu
Keyu Chen
Juyong Zhang
DRL3DHCoGeCVBM
126
119
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
204
72
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
354
627
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
684
3,648
0
19 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster
  Pooling
Classifying Signals on Irregular Domains via Convolutional Cluster PoolingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Angelo Porrello
Davide Abati
Simone Calderara
Rita Cucchiara
123
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
196
7
0
13 Feb 2019
Context-Aware Visual Compatibility Prediction
Context-Aware Visual Compatibility PredictionComputer Vision and Pattern Recognition (CVPR), 2019
Guillem Cucurull
Perouz Taslakian
David Vazquez
203
106
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
237
531
0
10 Feb 2019
Differentiable Physics-informed Graph Networks
Differentiable Physics-informed Graph Networks
Sungyong Seo
Yan Liu
PINNAI4CE
135
69
0
08 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded ObjectsInternational Conference on Machine Learning (ICML), 2019
Edward James Smith
Scott Fujimoto
Adriana Romero
David Meger
158
96
0
31 Jan 2019
On the Transferability of Spectral Graph Filters
On the Transferability of Spectral Graph FiltersInternational Conference on Sampling Theory and Applications (SampTA), 2019
Ron Levie
Elvin Isufi
Gitta Kutyniok
175
68
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
262
173
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
172
1
0
24 Jan 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Juil Sock
GNN
339
778
0
23 Jan 2019
Multiple Graph Adversarial Learning
Multiple Graph Adversarial Learning
Bo Jiang
Ziyan Zhang
Jin Tang
Bin Luo
138
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
Yi Xu
Jingwei Huang
P. Marcus
Matthias Nießner
3DPC
112
17
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
750
457
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
1.6K
10,293
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
303
52
0
27 Dec 2018
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
411
542
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
2.2K
6,445
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
360
566
0
15 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
496
1,503
0
11 Dec 2018
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