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Geometric deep learning: going beyond Euclidean data

Geometric deep learning: going beyond Euclidean data

24 November 2016
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
    GNN
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Papers citing "Geometric deep learning: going beyond Euclidean data"

30 / 1,430 papers shown
Title
Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
SungMin Rhee
Seokjun Seo
Sun Kim
GNN
26
173
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
22
1,230
0
10 Nov 2017
Learning flexible representations of stochastic processes on graphs
Learning flexible representations of stochastic processes on graphs
Addison W. Bohannon
Brian M. Sadler
R. Balan
GNN
16
1
0
03 Nov 2017
Learning Depthwise Separable Graph Convolution from Data Manifold
Learning Depthwise Separable Graph Convolution from Data Manifold
Guokun Lai
Hanxiao Liu
Yiming Yang
30
1
0
31 Oct 2017
Convolutional Neural Networks Via Node-Varying Graph Filters
Convolutional Neural Networks Via Node-Varying Graph Filters
Fernando Gama
G. Leus
A. Marques
Alejandro Ribeiro
GNN
94
19
0
27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
Alexander A. Alemi
GNN
22
32
0
26 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
27
1,780
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
32
1,966
0
17 Sep 2017
Learning Invariant Riemannian Geometric Representations Using Deep Nets
Learning Invariant Riemannian Geometric Representations Using Deep Nets
Suhas Lohit
P. Turaga
8
13
0
30 Aug 2017
Graph Classification via Deep Learning with Virtual Nodes
Graph Classification via Deep Learning with Virtual Nodes
Trang Pham
T. Tran
K. Dam
Svetha Venkatesh
GNN
15
45
0
14 Aug 2017
Geometric Convolutional Neural Network for Analyzing Surface-Based
  Neuroimaging Data
Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data
Si-Baek Seong
Chongwon Pae
Hae-Jeong Park
16
32
0
02 Aug 2017
Graph-Based Classification of Omnidirectional Images
Graph-Based Classification of Omnidirectional Images
Renata Khasanova
P. Frossard
24
71
0
26 Jul 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
36
113
0
22 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
9
5
0
08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices
Generalized Value Iteration Networks: Life Beyond Lattices
Sufeng Niu
Siheng Chen
Hanyu Guo
Colin Targonski
M. C. Smith
J. Kovacevic
GNN
19
53
0
08 Jun 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
16
99
0
30 May 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
13
78
0
23 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
33
657
0
22 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional
  Density Estimation of Continuous Random Variables
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
L. Ambrogioni
Umut Güçlü
Marcel van Gerven
E. Maris
BDL
27
47
0
19 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
22
284
0
27 Apr 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
11
87
0
26 Apr 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti
M. Bronstein
Xavier Bresson
GNN
13
516
0
22 Apr 2017
Fast Spectral Ranking for Similarity Search
Fast Spectral Ranking for Similarity Search
Ahmet Iscen
Yannis Avrithis
Giorgos Tolias
Teddy Furon
Ondřej Chum
22
48
0
20 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
29
140
0
02 Mar 2017
3D Shape Segmentation via Shape Fully Convolutional Networks
3D Shape Segmentation via Shape Fully Convolutional Networks
Pengyu Wang
Y. Gan
Panpan Shui
Fenggen Yu
Yan Zhang
Song-Le Chen
Zhengxing Sun
3DPC
12
86
0
28 Feb 2017
Unifying local and non-local signal processing with graph CNNs
Unifying local and non-local signal processing with graph CNNs
Gilles Puy
Srdan Kitic
P. Pérez
GNN
14
16
0
24 Feb 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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