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Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016
M. Defferrard
Xavier Bresson
P. Vandergheynst
    GNN
ArXivPDFHTML

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

43 / 1,193 papers shown
Title
Action-Attending Graphic Neural Network
Action-Attending Graphic Neural Network
Chaolong Li
Zhen Cui
Wenming Zheng
Chunyan Xu
Rongrong Ji
Jian Yang
33
50
0
17 Nov 2017
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
34
173
0
16 Nov 2017
Kernel Graph Convolutional Neural Networks
Kernel Graph Convolutional Neural Networks
Giannis Nikolentzos
Polykarpos Meladianos
A. Tixier
Konstantinos Skianis
Michalis Vazirgiannis
GNN
24
60
0
29 Oct 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
35
300
0
28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
30
386
0
27 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
32
132
0
28 Sep 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
53
1,782
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
58
1,967
0
17 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan
Lin Gao
Yu-Kun Lai
Jie-jin Yang
Shi-hong Xia
35
64
0
13 Sep 2017
Learning Graph-Level Representation for Drug Discovery
Learning Graph-Level Representation for Drug Discovery
Junying Li
Deng Cai
Xiaofei He
GNN
AI4CE
26
115
0
12 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GAN
AI4CE
25
25
0
11 Sep 2017
Urban morphology meets deep learning: Exploring urban forms in one
  million cities, town and villages across the planet
Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet
V. Moosavi
HAI
32
32
0
09 Sep 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural
  Network
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li
Junzhou Huang
GNN
30
7
0
10 Aug 2017
Graph-Based Classification of Omnidirectional Images
Graph-Based Classification of Omnidirectional Images
Renata Khasanova
P. Frossard
32
71
0
26 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
34
639
0
12 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
26
25
0
16 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
22
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
27
53
0
08 Jun 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
44
658
0
22 May 2017
Deep neural networks on graph signals for brain imaging analysis
Deep neural networks on graph signals for brain imaging analysis
Yiluan Guo
Hossein Nejati
Ngai-man Cheung
GNN
19
25
0
13 May 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNN
AI4TS
35
1,721
0
08 May 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
19
87
0
26 Apr 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum
  Disorder Classification
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification
Rushil Anirudh
Jayaraman J. Thiagarajan
33
90
0
24 Apr 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
33
365
0
20 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
21
1,222
0
10 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
95
7,326
0
04 Apr 2017
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Noe Casas
32
165
0
27 Mar 2017
Semi-supervised Embedding in Attributed Networks with Outliers
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
18
111
0
23 Mar 2017
Fast Spectral Ranking for Similarity Search
Fast Spectral Ranking for Similarity Search
Ahmet Iscen
Yannis Avrithis
Giorgos Tolias
Teddy Furon
Ondřej Chum
36
48
0
20 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
97
4,741
0
17 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs
Neural Graph Machines: Learning Neural Networks Using Graphs
T. Bui
Sujith Ravi
Vivek Ramavajjala
GNN
30
29
0
14 Mar 2017
Spectral Graph Convolutions for Population-based Disease Prediction
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
22
210
0
08 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Eliav Buchnik
E. Cohen
13
22
0
07 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application
  to Functional Brain Networks
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
S. Ktena
Sarah Parisot
Enzo Ferrante
Martin Rajchl
M. J. Lee
Ben Glocker
Daniel Rueckert
GNN
26
191
0
07 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
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
31
22
0
02 Mar 2017
QCD-Aware Recursive Neural Networks for Jet Physics
QCD-Aware Recursive Neural Networks for Jet Physics
Gilles Louppe
Kyunghyun Cho
C. Becot
Kyle Cranmer
BDL
24
189
0
02 Feb 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
36
758
0
22 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas J. Guibas
GNN
3DPC
21
466
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
DeepCas: an End-to-end Predictor of Information Cascades
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li
Jiaqi Ma
Xiaoxiao Guo
Qiaozhu Mei
GNN
27
325
0
16 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
27
28,626
0
09 Sep 2016
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