ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.07664
  4. Cited By
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"

40 / 290 papers shown
Title
DAGCN: Dual Attention Graph Convolutional Networks
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen
Shirui Pan
Jing Jiang
Huan Huo
Guodong Long
GNN
17
50
0
04 Apr 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
M. Pantic
S. Zafeiriou
CVBM
3DH
GAN
9
82
0
25 Mar 2019
Deep Eikonal Solvers
Deep Eikonal Solvers
M. Lichtenstein
Gautam Pai
Ron Kimmel
24
13
0
19 Mar 2019
Graph Neural Networks for User Identity Linkage
Graph Neural Networks for User Identity Linkage
Wen Zhang
Kai Shu
Huan Liu
Yalin Wang
11
33
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
18
6
0
04 Mar 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
11
453
0
10 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
D. Meger
13
90
0
31 Jan 2019
On the Transferability of Spectral Graph Filters
On the Transferability of Spectral Graph Filters
Ron Levie
Elvin Isufi
Gitta Kutyniok
21
62
0
29 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
C. Alippi
GNN
25
386
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
FaML
GNN
AI4TS
AI4CE
156
8,356
0
03 Jan 2019
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
20
494
0
24 Dec 2018
Fault Location in Power Distribution Systems via Deep Graph
  Convolutional Networks
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks
Kunjin Chen
Jun Hu
Yu Zhang
Zhanqing Yu
Jinliang He
GNN
15
217
0
22 Dec 2018
Geometric Scattering on Manifolds
Geometric Scattering on Manifolds
Michael Perlmutter
Guy Wolf
M. Hirn
GNN
16
9
0
15 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,320
0
11 Dec 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark J. Coates
Deniz Üstebay
GNN
BDL
19
227
0
27 Nov 2018
Connections between physics, mathematics and deep learning
Connections between physics, mathematics and deep learning
J. Thierry-Mieg
AI4CE
PINN
14
0
0
01 Nov 2018
Graph Neural Networks for IceCube Signal Classification
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
16
76
0
17 Sep 2018
Diffusion Scattering Transforms on Graphs
Diffusion Scattering Transforms on Graphs
Fernando Gama
Alejandro Ribeiro
Joan Bruna
GNN
42
100
0
22 Jun 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te
Wei Hu
Zongming Guo
Amin Zheng
3DPC
14
321
0
08 Jun 2018
Graph Saliency Maps through Spectral Convolutional Networks: Application
  to Sex Classification with Brain Connectivity
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Salim Arslan
S. Ktena
Ben Glocker
Daniel Rueckert
GNN
13
53
0
05 Jun 2018
Disease Prediction using Graph Convolutional Networks: Application to
  Autism Spectrum Disorder and Alzheimer's Disease
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Sarah Parisot
S. Ktena
Enzo Ferrante
M. J. Lee
Ricardo Guerrero
Ben Glocker
Daniel Rueckert
MedIm
12
526
0
05 Jun 2018
Understanding Regularized Spectral Clustering via Graph Conductance
Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang
Karl Rohe
11
80
0
05 Jun 2018
Dual-Primal Graph Convolutional Networks
Dual-Primal Graph Convolutional Networks
Federico Monti
Oleksandr Shchur
Aleksandar Bojchevski
Or Litany
Stephan Günnemann
M. Bronstein
GNN
19
79
0
03 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
Graph Capsule Convolutional Neural Networks
Graph Capsule Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
30
128
0
21 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
152
768
0
30 Mar 2018
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface
  Data
Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data
Karthik Gopinath
Christian Desrosiers
H. Lombaert
11
4
0
27 Mar 2018
Matching Convolutional Neural Networks without Priors about Data
Matching Convolutional Neural Networks without Priors about Data
Carlos Lassance
Jean-Charles Vialatte
Vincent Gripon
GNN
MedIm
27
6
0
27 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Evgheniy Faerman
Felix Borutta
Julian Busch
Matthias Schubert
33
7
0
15 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
27
93
0
14 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs
MotifNet: a motif-based Graph Convolutional Network for directed graphs
Federico Monti
Karl Otness
M. Bronstein
GNN
23
143
0
04 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
22
6,030
0
24 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
37
75
0
19 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
23
222
0
01 Dec 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
28
437
0
24 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
25
461
0
20 Nov 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
24
298
0
28 Oct 2017
Convolutional neural networks on irregular domains based on approximate
  vertex-domain translations
Convolutional neural networks on irregular domains based on approximate vertex-domain translations
Bastien Pasdeloup
Vincent Gripon
Jean-Charles Vialatte
Dominique Pastor
P. Frossard
21
3
0
27 Oct 2017
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
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
253
3,236
0
24 Nov 2016
Previous
123456