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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 / 1,099 papers shown
Title
Transductive Kernels for Gaussian Processes on Graphs
Transductive Kernels for Gaussian Processes on Graphs
Yin-Cong Zhi
Felix L. Opolka
Yin Cheng Ng
Pietro Lio
Xiaowen Dong
19
0
0
28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
44
21
0
25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable
  Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
36
8
0
21 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Inaam Ashraf
L. Hermes
André Artelt
Barbara Hammer
GNN
24
7
0
17 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep
  Learning Model
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
Dániel Unyi
Bálint Gyires-Tóth
MedIm
19
1
0
16 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication
  for Autonomous Drone Reforestation
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
P. D. Siedler
AI4CE
28
4
0
14 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance
Robust Training of Graph Neural Networks via Noise Governance
Siyi Qian
Haochao Ying
Renjun Hu
Jingbo Zhou
Jintai Chen
Danny Chen
Jian Wu
NoLa
33
34
0
12 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from
  Markov Chains Perspective
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Weichen Zhao
Chenguang Wang
Congying Han
Tiande Guo
33
1
0
12 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao
Qianlong Wen
Mingxuan Ju
Chuxu Zhang
Yanfang Ye
40
20
0
12 Nov 2022
Stable and Transferable Hyper-Graph Neural Networks
Stable and Transferable Hyper-Graph Neural Networks
Mikhail Hayhoe
Hans Riess
V. Preciado
Alejandro Ribeiro
46
1
0
11 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
36
5
0
07 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
27
38
0
06 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous
  Graph Learning Networks
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Tiehua Zhang
Yuze Liu
Yaohan Yao
Youhua Xia
Xin Chen
Xiaowei Huang
Jiongdao Jin
26
2
0
31 Oct 2022
Decentralized Channel Management in WLANs with Graph Neural Networks
Decentralized Channel Management in WLANs with Graph Neural Networks
Zhan Gao
Yulin Shao
Deniz Gunduz
Amanda Prorok
28
11
0
30 Oct 2022
Clenshaw Graph Neural Networks
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
61
10
0
29 Oct 2022
Beyond Homophily with Graph Echo State Networks
Beyond Homophily with Graph Echo State Networks
Domenico Tortorella
Alessio Micheli
30
4
0
27 Oct 2022
Unsupervised Image Semantic Segmentation through Superpixels and Graph
  Neural Networks
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks
Moshe Eliasof
Nir Ben Zikri
Eran Treister
SSL
GNN
23
3
0
21 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features
On Classification Thresholds for Graph Attention with Edge Features
K. Fountoulakis
Dake He
Silvio Lattanzi
Bryan Perozzi
Anton Tsitsulin
Shenghao Yang
GNN
30
6
0
18 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
31
3
0
17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Yizhen Zheng
Yu Zheng
Xiaofei Zhou
Chen Gong
V. Lee
Shirui Pan
38
16
0
17 Oct 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs
HP-GMN: Graph Memory Networks for Heterophilous Graphs
Junjie Xu
Enyan Dai
Xiang Zhang
Suhang Wang
36
18
0
15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Ajay Jaiswal
Peihao Wang
Tianlong Chen
Justin F. Rousseau
Ying Ding
Zhangyang Wang
35
10
0
14 Oct 2022
Revisiting Heterophily For Graph Neural Networks
Revisiting Heterophily For Graph Neural Networks
Sitao Luan
Chenqing Hua
Qincheng Lu
Jiaqi Zhu
Mingde Zhao
Shuyuan Zhang
Xiaoming Chang
Doina Precup
49
182
0
14 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang
Qinghai Zhou
Hanghang Tong
UQCV
41
21
0
12 Oct 2022
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action
  Recognition
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
Haodong Duan
Jiaqi Wang
Kai-xiang Chen
Dahua Lin
38
42
0
12 Oct 2022
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
78
13
0
08 Oct 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic
  Forecasting
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting
Le Zhao
Mingcai Chen
Yuntao Du
Haiyang Yang
Chongjun Wang
GNN
AI4TS
30
4
0
06 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph
  Spectrum
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu
Xiao Wang
Deyu Bo
Chuan Shi
Jian Pei
20
62
0
05 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node
  Classification
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification
Lirong Wu
Jun Xia
Haitao Lin
Zhangyang Gao
Zicheng Liu
Guojiang Zhao
Stan Z. Li
61
6
0
05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
32
48
0
02 Oct 2022
Convolutional Neural Networks on Manifolds: From Graphs and Back
Convolutional Neural Networks on Manifolds: From Graphs and Back
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
3DPC
GNN
40
14
0
01 Oct 2022
Cross Task Neural Architecture Search for EEG Signal Classifications
Cross Task Neural Architecture Search for EEG Signal Classifications
Yiqun Duan
Zhen Wang
Yi Li
Jianhang Tang
Yu-Kai Wang
Chin-Teng Lin
21
3
0
01 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
22
2
0
30 Sep 2022
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas K. Garg
89
54
0
29 Sep 2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Towards General-Purpose Representation Learning of Polygonal Geometries
Gengchen Mai
C. Jiang
Weiwei Sun
Rui Zhu
Yao Xuan
Ling Cai
K. Janowicz
Stefano Ermon
Ni Lao
35
38
0
29 Sep 2022
Signed Latent Factors for Spamming Activity Detection
Signed Latent Factors for Spamming Activity Detection
Yuli Liu
25
1
0
28 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
25
14
0
24 Sep 2022
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
Multi-Granularity Graph Pooling for Video-based Person Re-Identification
Honghu Pan
Yongyong Chen
Zhenyu He
36
31
0
23 Sep 2022
Towards Complete-View and High-Level Pose-based Gait Recognition
Towards Complete-View and High-Level Pose-based Gait Recognition
Honghu Pan
Yongyong Chen
Tingyang Xu
Yunqian He
Zhenyu He
SLR
GAN
CVBM
24
13
0
23 Sep 2022
PiFold: Toward effective and efficient protein inverse folding
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao
Cheng Tan
Pablo Chacón
Stan Z. Li
AI4CE
79
104
0
22 Sep 2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
Chen Zheng
Parisa Kordjamshidi
27
6
0
20 Sep 2022
Neural Graph Databases
Neural Graph Databases
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
47
9
0
20 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using
  Attention-Based Hierarchical Graph Pooling
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
Zehao Dong
Heming Zhang
Yixin Chen
Philip R. O. Payne
Fuhai Li
GNN
46
16
0
19 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification
Hub-aware Random Walk Graph Embedding Methods for Classification
Aleksandar Tomcic
Miloš Savić
Miloš Radovanović
16
2
0
15 Sep 2022
Earthquake Phase Association with Graph Neural Networks
Earthquake Phase Association with Graph Neural Networks
I. McBrearty
G. Beroza
27
39
0
15 Sep 2022
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
51
83
0
07 Sep 2022
Spotting Virus from Satellites: Modeling the Circulation of West Nile
  Virus Through Graph Neural Networks
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
Lorenzo Bonicelli
Angelo Porrello
Stefano Vincenzi
C. Ippoliti
F. Iapaolo
A. Conte
Simone Calderara
46
3
0
07 Sep 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko
Sungjun Cho
Dae-Woong Jeong
Sehui Han
Moontae Lee
Ho Hin Lee
24
9
0
07 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate
  Graph Neural Networks
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
19
1
0
07 Sep 2022
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