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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
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
22
3
0
23 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
19
96
0
13 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering
Learning Diverse Fashion Collocation by Neural Graph Filtering
Xin Liu
Yongbin Sun
Ziwei Liu
Dahua Lin
21
26
0
11 Mar 2020
A Graph Attention Spatio-temporal Convolutional Network for 3D Human
  Pose Estimation in Video
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Junfa Liu
Juan Rojas
Zhijun Liang
Yihui Li
Yisheng Guang
3DH
13
14
0
11 Mar 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph
  Neural Networks
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama
Elvin Isufi
G. Leus
Alejandro Ribeiro
GNN
28
149
0
08 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
17
11
0
28 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
Adaptive Propagation Graph Convolutional Network
Adaptive Propagation Graph Convolutional Network
Indro Spinelli
Simone Scardapane
A. Uncini
GNN
16
71
0
24 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
19
29
0
17 Feb 2020
Neural Network Approximation of Graph Fourier Transforms for Sparse
  Sampling of Networked Flow Dynamics
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
Alessio Pagani
Zhuangkun Wei
Ricardo Silva
Weisi Guo
14
1
0
11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNN
MedIm
14
128
0
11 Feb 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
29
80
0
21 Jan 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra
Aleksandra Piktus
Gerard Goossen
Fabrizio Silvestri
AI4CE
28
14
0
17 Jan 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of
  Local Geometric Priors
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang
Ke Chen
Chaozheng Wu
Yu Hong
K. Jia
Zhixin Yang
3DPC
11
24
0
14 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised
  Image Retrieval via Deep Graph Diffusion Networks
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Zhiyong Dou
Haotian Cui
Lin Zhang
Bo Wang
DiffM
GNN
18
6
0
05 Jan 2020
A literature survey of matrix methods for data science
A literature survey of matrix methods for data science
Martin Stoll
18
20
0
17 Dec 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Xiao Wang
Shu Wu
Zhitao Xiao
19
94
0
26 Nov 2019
Learnable Pooling in Graph Convolution Networks for Brain Surface
  Analysis
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis
Karthik Gopinath
Christian Desrosiers
H. Lombaert
17
25
0
22 Nov 2019
Spectral Graph Transformer Networks for Brain Surface Parcellation
Spectral Graph Transformer Networks for Brain Surface Parcellation
Ran He
Karthik Gopinath
Christian Desrosiers
H. Lombaert
MedIm
11
10
0
22 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
42
154
0
18 Nov 2019
Understanding Graph Neural Networks with Generalized Geometric
  Scattering Transforms
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
Michael Perlmutter
Alexander Tong
F. Gao
Guy Wolf
M. Hirn
GNN
19
9
0
14 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
30
12
0
08 Nov 2019
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
18
2
0
04 Nov 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph
  Learning
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
11
13
0
26 Oct 2019
Topological based classification using graph convolutional networks
Topological based classification using graph convolutional networks
R. Abel
I. Benami
Y. Louzoun
GNN
17
5
0
26 Oct 2019
Hierarchical Representation Learning in Graph Neural Networks with Node
  Decimation Pooling
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
F. Bianchi
Daniele Grattarola
L. Livi
C. Alippi
41
47
0
24 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Asiri Wijesinghe
Qing Wang
GNN
28
28
0
24 Oct 2019
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
32
151
0
17 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
M. Liakata
GNN
23
3
0
03 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
23
0
0
26 Sep 2019
Semi-supervised classification on graphs using explicit diffusion
  dynamics
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
GNN
DiffM
16
15
0
24 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer
  Learning
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedML
GNN
SSL
20
9
0
22 Sep 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
11
163
0
19 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional Networks
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
19
16
0
02 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
27
125
0
30 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
22
1,308
0
25 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs
Spectral-based Graph Convolutional Network for Directed Graphs
Y. Ma
Jianye Hao
Yaodong Yang
Han Li
Junqi Jin
Guangyong Chen
GNN
BDL
13
73
0
21 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
C. Alippi
GNN
16
39
0
30 Jun 2019
Discriminative structural graph classification
Discriminative structural graph classification
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
22
19
0
31 May 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on
  Point Clouds
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds
P. Jin
Tianhao Lai
Rongjie Lai
Bin Dong
3DPC
9
3
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
18
445
0
27 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
22
562
0
27 May 2019
Graph Attribute Aggregation Network with Progressive Margin Folding
Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun
J. Qu
Xiaoqing Lyu
Haibin Ling
Zhi Tang
GNN
6
3
0
14 May 2019
Single Image 3D Hand Reconstruction with Mesh Convolutions
Single Image 3D Hand Reconstruction with Mesh Convolutions
Dominik Kulon
Haoyang Wang
R. Güler
M. Bronstein
S. Zafeiriou
3DH
11
58
0
04 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma
Zhi-Li Zhang
GNN
MLT
21
153
0
03 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
17
1
0
23 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
10
1
0
15 Apr 2019
Graph Wavelet Neural Network
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
17
325
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-Jie Luo
3DPC
17
107
0
11 Apr 2019
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