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CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

22 May 2017
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
    GNN
ArXivPDFHTML

Papers citing "CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters"

50 / 290 papers shown
Title
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
23
4
0
23 May 2021
Adaptive Filters in Graph Convolutional Neural Networks
Adaptive Filters in Graph Convolutional Neural Networks
Andrea Apicella
Francesco Isgrò
A. Pollastro
R. Prevete
GNN
19
16
0
21 May 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
64
60
0
26 Apr 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes
HodgeNet: Learning Spectral Geometry on Triangle Meshes
Dmitriy Smirnov
Justin Solomon
33
25
0
26 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
25
0
0
12 Apr 2021
Pyramidal Reservoir Graph Neural Network
Pyramidal Reservoir Graph Neural Network
F. Bianchi
Claudio Gallicchio
A. Micheli
GNN
17
13
0
10 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph
  Convolutional Networks
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
H. Sahbi
3DH
GNN
18
3
0
09 Apr 2021
Field Convolutions for Surface CNNs
Field Convolutions for Surface CNNs
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
21
19
0
08 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy
  Physics
Graph Generative Models for Fast Detector Simulations in High Energy Physics
A. Hariri
Darya Dyachkova
Sergei Gleyzer
AI4CE
24
6
0
05 Apr 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence
Dual Mesh Convolutional Networks for Human Shape Correspondence
Nitika Verma
A. Boukhayma
Jakob Verbeek
Edmond Boyer
3DH
18
5
0
23 Mar 2021
Implementing graph neural networks with TensorFlow-Keras
Implementing graph neural networks with TensorFlow-Keras
Patrick Reiser
André Eberhard
Pascal Friederich
GNN
8
15
0
07 Mar 2021
Interpretable Stability Bounds for Spectral Graph Filters
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay
D. Thanou
Xiaowen Dong
6
39
0
18 Feb 2021
Learning Graph Representations
Learning Graph Representations
Rucha Bhalchandra Joshi
Subhankar Mishra
GNN
AI4CE
8
5
0
03 Feb 2021
A Review of Graph Neural Networks and Their Applications in Power
  Systems
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Yuelong Wang
Yusen Wang
GNN
AI4CE
14
209
0
25 Jan 2021
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing
  System Using Gated Graph Neural Network
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Jianguo Chen
KenLi Li
Keqin Li
Philip S. Yu
Zeng Zeng
27
82
0
19 Jan 2021
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional
  Network for Clustering
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering
Guangyu Huo
Yong Zhang
Junbin Gao
Boyue Wang
Yongli Hu
Baocai Yin
GNN
25
28
0
18 Jan 2021
Graph Networks with Spectral Message Passing
Graph Networks with Spectral Message Passing
Kimberly L. Stachenfeld
Jonathan Godwin
Peter W. Battaglia
30
12
0
31 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
21
1
0
28 Dec 2020
An Experimental Study of the Transferability of Spectral Graph Networks
An Experimental Study of the Transferability of Spectral Graph Networks
Axel Nilsson
Xavier Bresson
25
3
0
18 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical
  Graph Representation Learning
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Haoteng Tang
Guixiang Ma
Lifang He
Heng-Chiao Huang
Liang Zhan
GNN
27
24
0
10 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
14
196
0
01 Dec 2020
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
Fatemeh Teimury
Bruno Roy
Juan Sebastián Casallas
David MacDonald
Mark J. Coates
AI4CE
37
2
0
27 Nov 2020
Fourier-based and Rational Graph Filters for Spectral Processing
Fourier-based and Rational Graph Filters for Spectral Processing
Giuseppe Patané
6
5
0
08 Nov 2020
Nonlinear State-Space Generalizations of Graph Convolutional Neural
  Networks
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
Elvin Isufi
GNN
42
0
0
27 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge
  Rewiring
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay
D. Thanou
Xiaowen Dong
17
30
0
26 Oct 2020
Revisiting convolutional neural network on graphs with polynomial
  approximations of Laplace-Beltrami spectral filtering
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
24
11
0
26 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks
On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang
Chengyuan Deng
GNN
29
4
0
21 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection
Graph Fairing Convolutional Networks for Anomaly Detection
Mahsa Mesgaran
A. Ben Hamza
10
23
0
20 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
10
327
0
12 Oct 2020
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural Networks
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNN
AI4CE
22
12
0
11 Oct 2020
Directional Graph Networks
Directional Graph Networks
Dominique Beaini
Saro Passaro
Vincent Létourneau
William L. Hamilton
Gabriele Corso
Pietro Lió
44
184
0
06 Oct 2020
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
16
7
0
04 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with
  Limited Sensitive Attribute Information
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai
Suhang Wang
FaML
16
239
0
03 Sep 2020
Optimization of Graph Neural Networks with Natural Gradient Descent
Optimization of Graph Neural Networks with Natural Gradient Descent
M. Izadi
Yihao Fang
R. Stevenson
Lizhen Lin
GNN
22
41
0
21 Aug 2020
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
Guangming Yao
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
CVBM
27
56
0
18 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng
Zichen Miao
Qiang Qiu
GNN
14
0
0
04 Aug 2020
Learning to Generate Customized Dynamic 3D Facial Expressions
Learning to Generate Customized Dynamic 3D Facial Expressions
Rolandos Alexandros Potamias
Jiali Zheng
Stylianos Ploumpis
Giorgos Bouritsas
Evangelos Ververas
S. Zafeiriou
3DH
31
22
0
19 Jul 2020
Pre-Trained Models for Heterogeneous Information Networks
Pre-Trained Models for Heterogeneous Information Networks
Yang Fang
Xiang Zhao
Yifan Chen
W. Xiao
Maarten de Rijke
SSL
35
1
0
07 Jul 2020
Relational Fusion Networks: Graph Convolutional Networks for Road
  Networks
Relational Fusion Networks: Graph Convolutional Networks for Road Networks
T. S. Jepsen
Christian S. Jensen
Thomas D. Nielsen
GNN
14
39
0
16 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Bernard Ghanem
GNN
19
431
0
13 Jun 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng-Long Jiang
Neil Shah
GNN
30
407
0
11 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning
Wide and Deep Graph Neural Networks with Distributed Online Learning
Zhan Gao
Fernando Gama
Alejandro Ribeiro
GNN
35
10
0
11 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs
Ziwei Zhang
Peng Cui
J. Pei
Xin Eric Wang
Wenwu Zhu
GNN
34
29
0
08 Jun 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
19
392
0
23 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
23
7
0
21 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
12
35
0
17 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lió
Petar Velickovic
GNN
18
650
0
12 Apr 2020
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
Dominik Kulon
R. Güler
Iasonas Kokkinos
M. Bronstein
S. Zafeiriou
3DH
6
207
0
04 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
21
60
0
26 Mar 2020
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