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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 / 1,230 papers shown
Title
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
29
100
0
10 Mar 2021
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Learning to Optimize DAG Scheduling in Heterogeneous Environment
Jinhong Luo
Yunfan Zhou
Xijun Li
Mingxuan Yuan
Jianguo Yao
Jia Zeng
20
17
0
09 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Man Wu
Shirui Pan
Lan Du
Xingquan Zhu
30
33
0
08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
25
28
0
07 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on
  Spatial-Temporal Graph Convolutional Network
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
Yonghong Luo
Chao Lu
Lipeng Zhu
Jie Song
39
57
0
05 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data
  Communication Architecture
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
S. Min
Kun Wu
Sitao Huang
Mert Hidayetouglu
Jinjun Xiong
Eiman Ebrahimi
Deming Chen
Wen-mei W. Hwu
GNN
10
67
0
04 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lio
M. Bronstein
48
249
0
04 Mar 2021
Autobahn: Automorphism-based Graph Neural Nets
Autobahn: Automorphism-based Graph Neural Nets
Erik H. Thiede
Wenda Zhou
Risi Kondor
GNN
AI4CE
26
48
0
02 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with
  Imbalanced Data
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
27
72
0
27 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
49
290
0
27 Feb 2021
A Universal Model for Cross Modality Mapping by Relational Reasoning
A Universal Model for Cross Modality Mapping by Relational Reasoning
Zun Li
Congyan Lang
Liqian Liang
Tao Wang
Songhe Feng
Jun Wu
Yidong Li
30
2
0
26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation
  Learning
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
27
157
0
25 Feb 2021
Approximate Knowledge Graph Query Answering: From Ranking to Binary
  Classification
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
Ruud van Bakel
Teodor Aleksiev
Daniel Daza
Dimitrios Alivanistos
Michael Cochez
16
5
0
22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
GNN
44
79
0
22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R. Wolfe
Jingkang Yang
Arindam Chowdhury
Chen Dun
Artun Bayer
Santiago Segarra
Anastasios Kyrillidis
BDL
GNN
LRM
56
9
0
20 Feb 2021
Principled Simplicial Neural Networks for Trajectory Prediction
Principled Simplicial Neural Networks for Trajectory Prediction
T. Roddenberry
Nicholas Glaze
Santiago Segarra
3DPC
35
91
0
19 Feb 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
35
981
0
19 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised
  Node Classification
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
Jingyi Wang
Zhidong Deng
GNN
21
11
0
19 Feb 2021
Interpretable Stability Bounds for Spectral Graph Filters
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay
D. Thanou
Xiaowen Dong
22
39
0
18 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
37
352
0
18 Feb 2021
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
Jun Lv
Wenqiang Xu
Lixin Yang
Sucheng Qian
Chongzhao Mao
Cewu Lu
3DH
63
24
0
18 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation
  Technique
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
Steph-Yves M. Louis
Alireza Nasiri
Fatima J. Rolland
Cameron Mitro
Jianjun Hu
79
9
0
17 Feb 2021
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
98
164
0
15 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph
  Convolutional Neural Networks
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan
Milad Hashemi
Kevin Swersky
Yaoqing Yang
Danai Koutra
41
249
0
12 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
54
198
0
28 Jan 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
35
213
0
25 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and
  Self-Supervised Mutual Information Mechanism
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Yuanxing Ning
Phillip S. Yu
Lifang He
26
162
0
20 Jan 2021
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face
  Parsing
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing
Gusi Te
Wei Hu
Yinglu Liu
Hailin Shi
Tao Mei
CVBM
3DH
123
27
0
18 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
Zhixiang Chen
Tengfei Ma
Zhihua Jin
Yangqiu Song
Yangkun Wang
GNN
41
5
0
14 Jan 2021
SPAGAN: Shortest Path Graph Attention Network
SPAGAN: Shortest Path Graph Attention Network
Yiding Yang
Xinchao Wang
Xiuming Zhang
Junsong Yuan
Dacheng Tao
GNN
154
96
0
10 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks
Hao Yuan
Shuiwang Ji
GNN
90
7
0
06 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
135
73
0
04 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
109
563
0
04 Jan 2021
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Weifeng Lv
Hui Xiong
33
13
0
29 Dec 2020
MS-GWNN:multi-scale graph wavelet neural network for breast cancer
  diagnosis
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis
Mo Zhang
Quanzheng Li
17
14
0
29 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
29
1
0
28 Dec 2020
Self-Supervised Hyperboloid Representations from Logical Queries over
  Knowledge Graphs
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary
Nikhil S. Rao
S. Katariya
Karthik Subbian
Chandan K. Reddy
16
64
0
23 Dec 2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Xiaohe Li
Lijie Wen
Chen Qian
Jianmin Wang
24
5
0
23 Dec 2020
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
50
725
0
17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface
  Translation
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
Mehdi Bahri
Eimear O' Sullivan
Shunwang Gong
Feng Liu
Xiaoming Liu
M. Bronstein
S. Zafeiriou
CVBM
3DH
31
16
0
16 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
27
117
0
16 Dec 2020
Hierarchical Graph Capsule Network
Hierarchical Graph Capsule Network
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
26
30
0
16 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand
  Prediction
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNN
AI4TS
18
149
0
15 Dec 2020
Molecular graph generation with Graph Neural Networks
Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
30
137
0
14 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
40
35
0
12 Dec 2020
A Meta-Learning Approach for Graph Representation Learning in Multi-Task
  Settings
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
Davide Buffelli
Fabio Vandin
AI4CE
24
14
0
12 Dec 2020
Spatial Temporal Transformer Network for Skeleton-based Action
  Recognition
Spatial Temporal Transformer Network for Skeleton-based Action Recognition
Chiara Plizzari
Marco Cannici
Matteo Matteucci
ViT
24
195
0
11 Dec 2020
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan
Xiaobing Pei
GNN
AAML
27
1
0
11 Dec 2020
Sheaf Neural Networks
Sheaf Neural Networks
J. Hansen
Thomas Gebhart
GNN
19
38
0
08 Dec 2020
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra
A. Tewari
Florian Bernard
Hans-Peter Seidel
Mohamed A. Elgharib
Daniel Cremers
Christian Theobalt
3DH
28
121
0
28 Nov 2020
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