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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"

50 / 1,199 papers shown
Title
TextRGNN: Residual Graph Neural Networks for Text Classification
Jiayuan Chen
Boyu Zhang
Yinfei Xu
Meng Wang
33
4
0
30 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for
  Graph Neural Network
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
38
3
0
30 Dec 2021
Deformable Graph Convolutional Networks
Deformable Graph Convolutional Networks
Jinyoung Park
Sungdong Yoo
Jihwan Park
Hyunwoo J. Kim
GNN
30
13
0
29 Dec 2021
Block Modeling-Guided Graph Convolutional Neural Networks
Block Modeling-Guided Graph Convolutional Neural Networks
Dongxiao He
Chundong Liang
Huixin Liu
Ming-Chang Wen
Pengfei Jiao
Zhiyong Feng
GNN
31
65
0
27 Dec 2021
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph
  Convolutional Networks
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks
Osman Boyaci
M. Narimani
K. Davis
E. Serpedin
GNN
41
14
0
25 Dec 2021
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
34
59
0
23 Dec 2021
PointCaps: Raw Point Cloud Processing using Capsule Networks with
  Euclidean Distance Routing
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
Dishanika Denipitiyage
Vinoj Jayasundara
Ranga Rodrigo
Chamira U. S. Edussooriya
3DPC
28
6
0
21 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Yiqi Wang
Chaozhuo Li
Zheng Liu
Mingzheng Li
Jiliang Tang
Xing Xie
Lei Chen
Philip S. Yu
28
23
0
14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang
Yanming Shen
Rui Li
Heng Qi
Qian Zhang
Baocai Yin
GNN
15
27
0
14 Dec 2021
Spatial Graph Convolutional Neural Network via Structured Subdomain
  Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Mohammadreza Ghorvei
Mohammadreza Kavianpour
Mohammad T. H. Beheshti
Amin Ramezani
AI4CE
30
71
0
11 Dec 2021
Cooperative Multi-Agent Reinforcement Learning with Hypergraph
  Convolution
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution
Yunru Bai
Chen Gong
Bin Zhang
Guoliang Fan
Xinwen Hou
Yu Liu
27
6
0
09 Dec 2021
Transferability Properties of Graph Neural Networks
Transferability Properties of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
34
41
0
09 Dec 2021
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain
  Dynamics: A Comparison of Graph Neural Network Architectures
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
S. Wein
Alina Schüller
A. Tomé
W. Malloni
M. Greenlee
E. Lang
AI4CE
38
14
0
08 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural
  Networks
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
P. Esser
L. C. Vankadara
D. Ghoshdastidar
28
53
0
07 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
30
6
0
07 Dec 2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks
GraphPAS: Parallel Architecture Search for Graph Neural Networks
Jiamin Chen
Jianliang Gao
Yibo Chen
Moctard Babatounde Oloulade
Tengfei Lyu
Zhao Li
GNN
18
21
0
07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
38
27
0
06 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention
Multi-scale Graph Convolutional Networks with Self-Attention
Zhilong Xiong
Jia Cai
GNN
43
2
0
04 Dec 2021
Frame Averaging for Equivariant Shape Space Learning
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon
Koki Nagano
Sanja Fidler
S. Khamis
Y. Lipman
FedML
38
13
0
03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li
Yuichi Tanaka
21
3
0
03 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Rahul Dey
Vishnu Boddeti
CVBM
3DH
31
7
0
01 Dec 2021
Neural Attention for Image Captioning: Review of Outstanding Methods
Neural Attention for Image Captioning: Review of Outstanding Methods
Zanyar Zohourianshahzadi
Jugal Kalita
VLM
35
45
0
29 Nov 2021
Crime Prediction with Graph Neural Networks and Multivariate Normal
  Distributions
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions
Selim Furkan Tekin
Suleyman Serdar Kozat
29
12
0
29 Nov 2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin
Aasa Feragen
GNN
3DPC
33
11
0
29 Nov 2021
Understanding over-squashing and bottlenecks on graphs via curvature
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping
Francesco Di Giovanni
B. Chamberlain
Xiaowen Dong
M. Bronstein
64
427
0
29 Nov 2021
Head and Body: Unified Detector and Graph Network for Person Search in
  Media
Head and Body: Unified Detector and Graph Network for Person Search in Media
Xiujun Shu
Yusheng Tao
Ruizhi Qiao
Bo Ke
Wei Wen
Bo Ren
30
2
0
27 Nov 2021
On the combination of graph data for assessing thin-file borrowers'
  creditworthiness
On the combination of graph data for assessing thin-file borrowers' creditworthiness
Ricardo Muñoz-Cancino
Cristián Bravo
Sebastián A. Ríos
M. Graña
26
14
0
26 Nov 2021
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet
  Convolutional Network
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
M. Behmanesh
Peyman Adibi
M. Ehsani
Jocelyn Chanussot
27
12
0
26 Nov 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction
  Behaviors
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors
Haibin Zheng
Minying Ma
Jinyin Chen
Haiyang Xiong
Zhijun Yang
25
9
0
26 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
23
2
0
25 Nov 2021
Online Adaptation for Implicit Object Tracking and Shape Reconstruction
  in the Wild
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild
Jianglong Ye
Yuntao Chen
Naiyan Wang
Xiaolong Wang
3DPC
57
9
0
24 Nov 2021
Hierarchical Graph Networks for 3D Human Pose Estimation
Hierarchical Graph Networks for 3D Human Pose Estimation
Han Li
Bowen Shi
Wenrui Dai
Yabo Chen
Botao Wang
Yu Sun
Mingzhe Guo
Chenlin Li
Junni Zou
H. Xiong
3DH
32
15
0
23 Nov 2021
Network-wide Multi-step Traffic Volume Prediction using Graph
  Convolutional Gated Recurrent Neural Network
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin
Weizi Li
Lei Zhu
GNN
AI4TS
9
5
0
22 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
33
24
0
20 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks
SStaGCN: Simplified stacking based graph convolutional networks
Jia Cai
Zhilong Xiong
Shaogao Lv
GNN
40
1
0
16 Nov 2021
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein
  Docking
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
O. Ganea
Xinyuan Huang
Charlotte Bunne
Yatao Bian
Regina Barzilay
Tommi Jaakkola
Andreas Krause
36
152
0
15 Nov 2021
Spectral Transform Forms Scalable Transformer
Spectral Transform Forms Scalable Transformer
Bingxin Zhou
Xinliang Liu
Yuehua Liu
Yunyin Huang
Pietro Lio
Yuguang Wang
52
6
0
15 Nov 2021
A Comparative Study on Basic Elements of Deep Learning Models for
  Spatial-Temporal Traffic Forecasting
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
Y. Shin
Yoonjin Yoon
AI4TS
GNN
34
1
0
15 Nov 2021
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural
  Networks
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
Guannan Lou
Yuze Liu
Tiehua Zhang
Xi Zheng
FedML
68
14
0
12 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural
  Networks
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp
Karolis Martinkus
Lukas Faber
Roger Wattenhofer
GNN
28
139
0
11 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic
  Coordinates
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Klicpera
Chandan Yeshwanth
Stephan Günnemann
42
35
0
08 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph
  Parameters
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara
Hoang NT
41
2
0
05 Nov 2021
Graph Denoising with Framelet Regularizer
Graph Denoising with Framelet Regularizer
Bingxin Zhou
Ruikun Li
Xuebin Zheng
Yu Guang Wang
Junbin Gao
21
14
0
05 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in
  Recommendation
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation
Ke Tu
Peng Cui
Daixin Wang
Qing Cui
Jun Zhou
Yuan Qi
Wenwu Zhu
32
46
0
03 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence
Discovering Supply Chain Links with Augmented Intelligence
Achintya Gopal
Chun-Han Chang
40
3
0
02 Nov 2021
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation
Jianning Quan
A. Ben Hamza
3DH
24
13
0
01 Nov 2021
Graph Embedding with Hierarchical Attentive Membership
Graph Embedding with Hierarchical Attentive Membership
Lu Lin
Ethan Blaser
Hongning Wang
27
10
0
31 Oct 2021
Graph Neural Network based scheduling : Improved throughput under a
  generalized interference model
Graph Neural Network based scheduling : Improved throughput under a generalized interference model
Ramakrishnan Sambamoorthy
Jaswanthi Mandalapu
Subrahmanya Swamy Peruru
Bhavesh Jain
E. Altman
GNN
17
1
0
31 Oct 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both
  Homophily and Heterophily
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du
Xiaozhou Shi
Qiang Fu
Xiaojun Ma
Hengyu Liu
Shi Han
Dongmei Zhang
40
105
0
29 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
25
3
0
29 Oct 2021
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