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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 / 1,101 papers shown
Title
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
33
8
0
27 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node
  Classification
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Mengting Zhou
Zhiguo Gong
16
19
0
24 Feb 2023
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype
  Classification
A Multimodal Graph Neural Network Framework of Cancer Molecular Subtype Classification
Bingjun Li
S. Nabavi
27
29
0
24 Feb 2023
Dynamic Graph Convolutional Network with Attention Fusion for Traffic
  Flow Prediction
Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNN
AI4TS
32
6
0
24 Feb 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Y. Guo
Zhewei Wei
32
30
0
24 Feb 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai
Dalin Zhang
Huan Li
Christian S. Jensen
Hua Lu
Yan Zhao
AI4TS
35
29
0
23 Feb 2023
Time-varying Signals Recovery via Graph Neural Networks
Time-varying Signals Recovery via Graph Neural Networks
Jhon A. Castro-Correa
Jhony H. Giraldo
Anindya Mondal
Mohsen Badiey
T. Bouwmans
Fragkiskos D. Malliaros
AI4TS
32
10
0
22 Feb 2023
Random Projection Forest Initialization for Graph Convolutional Networks
Random Projection Forest Initialization for Graph Convolutional Networks
Mashaan Alshammari
J. Stavrakakis
Adel F. Ahmed
M. Takatsuka
GNN
29
2
0
22 Feb 2023
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for
  Photovoltaic Timeseries Data Imputation
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation
Yang Fan
Xuanji Yu
Raymond J. Wieser
D. Meakin
Avishai Shaton
...
Michael Howell
J. Braid
L. Bruckman
R. French
Yinghui Wu
72
4
0
21 Feb 2023
Higher-order Sparse Convolutions in Graph Neural Networks
Higher-order Sparse Convolutions in Graph Neural Networks
Jhony H. Giraldo
S. Javed
Arif Mahmood
Fragkiskos D. Malliaros
T. Bouwmans
GNN
36
1
0
21 Feb 2023
Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned
  Deformable Object Rearranging Task
Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task
Yuhong Deng
Chongkun Xia
Xueqian Wang
Lipeng Chen
21
4
0
21 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
22
2
0
17 Feb 2023
Graph Neural Networks over the Air for Decentralized Tasks in Wireless
  Networks
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
Zhan Gao
Deniz Gunduz
GNN
38
1
0
16 Feb 2023
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical
  Musculoskeletal System Based on Non-intrusive Model Order Reduction
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
Jonas Kneifl
D. Rosin
Oliver Röhrle
Jörg Fehr
AI4CE
21
13
0
13 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
40
12
0
13 Feb 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
35
25
0
11 Feb 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
43
7
0
10 Feb 2023
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
Mohammad Farazi
Zhangsihao Yang
Wenjie Zhu
Peijie Qiu
Yalin Wang
3DV
32
4
0
08 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
32
64
0
03 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
27
0
0
02 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph
  Neural Network
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
35
16
0
02 Feb 2023
Transformers Meet Directed Graphs
Transformers Meet Directed Graphs
Simon Geisler
Yujia Li
D. Mankowitz
A. Cemgil
Stephan Günnemann
Cosmin Paduraru
27
35
0
31 Jan 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang
Xuequan Lu
Lei Lyu
36
20
0
27 Jan 2023
Graph Scattering beyond Wavelet Shackles
Graph Scattering beyond Wavelet Shackles
Christian Koke
Gitta Kutyniok
24
4
0
26 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
42
2
0
26 Jan 2023
Visiting Distant Neighbors in Graph Convolutional Networks
Visiting Distant Neighbors in Graph Convolutional Networks
Ali Hashemi
H. Makse
GNN
21
1
0
26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the
  Graph Structure
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
Ryoma Sato
37
5
0
26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic
  Graphical Model Perspective
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen
Xiang Zhang
Yinfei Xu
Tianli Zhao
Renjie Xie
Wei Xu
GNN
BDL
23
0
0
25 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural
  Networks
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks
Chong Zhang
Zhenkun Zhou
X. Peng
Ke Xu
27
3
0
20 Jan 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNN
AI4CE
22
179
0
19 Jan 2023
Adaptive Depth Graph Attention Networks
Adaptive Depth Graph Attention Networks
Jingbo Zhou
Yixuan Du
Ruqiong Zhang
Rui Zhang
GNN
36
1
0
16 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Signed Directed Graph Contrastive Learning with Laplacian Augmentation
Taewook Ko
Yoonhyuk Choi
Chong-Kwon Kim
31
3
0
12 Jan 2023
Stretched and measured neural predictions of complex network dynamics
Stretched and measured neural predictions of complex network dynamics
V. Vasiliauskaite
Nino Antulov-Fantulin
33
1
0
12 Jan 2023
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
HADA: A Graph-based Amalgamation Framework in Image-text Retrieval
Manh-Duy Nguyen
Binh T. Nguyen
C. Gurrin
VLM
28
4
0
11 Jan 2023
Generative Graph Neural Networks for Link Prediction
Generative Graph Neural Networks for Link Prediction
Xingping Xian
Tao Wu
Xiaoke Ma
Shaojie Qiao
Yabin Shao
Chao Wang
Lin Yuan
Yuehua Wu
AI4CE
28
4
0
31 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural Network
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan A. Rossi
35
0
0
28 Dec 2022
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
47
88
0
27 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with
  Diversification for Graph Convolutional Neural Networks
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Chenqing Hua
Xiao-Wen Chang
Doina Precup
GNN
19
33
0
21 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
Vardaan Pahuja
Boshi Wang
Hugo Latapie
Jayanth Srinivasa
Yu-Chuan Su
28
13
0
19 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
TopoImb: Toward Topology-level Imbalance in Learning from Graphs
Tianxiang Zhao
Dongsheng Luo
Xiang Zhang
Suhang Wang
AI4CE
30
11
0
16 Dec 2022
Convolution-enhanced Evolving Attention Networks
Convolution-enhanced Evolving Attention Networks
Yujing Wang
Yaming Yang
Zhuowan Li
Jiangang Bai
Mingliang Zhang
Xiangtai Li
Jiahao Yu
Ce Zhang
Gao Huang
Yu Tong
ViT
27
6
0
16 Dec 2022
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional
  Operators on Graphs
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs
Alejandro Parada-Mayorga
Zhiyang Wang
Alejandro Ribeiro
31
9
0
15 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by
  tensor decomposition
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li
Xu Yang
Yong Wang
Yuankai Wu
Deqiang He
44
10
0
12 Dec 2022
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph
  Learning with Attentive Temporal Aggregation
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
21
14
0
09 Dec 2022
Frugal Reinforcement-based Active Learning
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
16
0
0
09 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
M. Behmanesh
Maximilian Krahn
M. Ovsjanikov
DiffM
GNN
24
9
0
05 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
31
0
0
04 Dec 2022
Gibbs-Helmholtz Graph Neural Network: capturing the temperature
  dependency of activity coefficients at infinite dilution
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
E. Medina
S. Linke
Martin Stoll
K. Sundmacher
38
11
0
02 Dec 2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks
On the Limit of Explaining Black-box Temporal Graph Neural Networks
Minh Nhat Vu
My T. Thai
21
4
0
02 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on
  Molecular Graphs
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
P. Bongini
Elisa Messori
Niccolò Pancino
Monica Bianchini
GNN
OOD
23
2
0
30 Nov 2022
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