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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 / 1,229 papers shown
Title
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset
  for Intelligent Vehicles
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
31
27
0
27 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
26
76
0
25 Nov 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
27
43
0
23 Nov 2020
Efficient power allocation using graph neural networks and deep
  algorithm unfolding
Efficient power allocation using graph neural networks and deep algorithm unfolding
Arindam Chowdhury
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
49
14
0
18 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
21
259
0
13 Nov 2020
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic
  Scenarios with Graph Neural Networks
DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
GNN
22
14
0
13 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping
Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che
Guohua Yang
Dawei Zhang
J. Tao
Pengpeng Shao
Tong Liu
SSL
8
23
0
10 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
53
542
0
09 Nov 2020
Hyperrealistic Image Inpainting with Hypergraphs
Hyperrealistic Image Inpainting with Hypergraphs
Gourav Wadhwa
Abhinav Dhall
Subrahmanyam Murala
Usman Tariq
GNN
23
25
0
05 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning
  Models for Article Vectorisation
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Diego Kozlowski
Jennifer Dusdal
Jun Pang
A. Zilian
18
13
0
05 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
OT
3DPC
21
77
0
28 Oct 2020
Geometric Scattering Attention Networks
Geometric Scattering Attention Networks
Yimeng Min
Frederik Wenkel
Guy Wolf
21
9
0
28 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge
  Rewiring
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay
D. Thanou
Xiaowen Dong
30
30
0
26 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
BDL
GNN
27
29
0
26 Oct 2020
Graph and graphon neural network stability
Graph and graphon neural network stability
Luana Ruiz
Zhiyang Wang
Alejandro Ribeiro
GNN
78
17
0
23 Oct 2020
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPC
AI4CE
59
90
0
23 Oct 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
71
91
0
23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D
  Dense Shape Correspondence
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Hao Huang
Lingjing Wang
Xiang Li
Yi Fang
3DPC
23
0
0
21 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks
On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang
Chengyuan Deng
GNN
34
4
0
21 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
50
19
0
20 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking
Tracklets Predicting Based Adaptive Graph Tracking
Chaobing Shan
Chunbo Wei
Bing Deng
Jianqiang Huang
Xiansheng Hua
Xiaoliang Cheng
K. Liang
VOT
33
9
0
18 Oct 2020
A Graph Neural Network Framework for Causal Inference in Brain Networks
A Graph Neural Network Framework for Causal Inference in Brain Networks
S. Wein
W. Malloni
A. Tomé
Sebastian M. Frank
Gina-Isabelle Henze
S. Wüst
M. Greenlee
E. Lang
29
50
0
14 Oct 2020
Neighborhood Preserving Kernels for Attributed Graphs
Neighborhood Preserving Kernels for Attributed Graphs
Asif Salim
S. Shiju.S.
S. Sumitra
28
3
0
13 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy
  Label Correction via Visual-Semantic Graph
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
33
13
0
12 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph
  Neural Networks
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Nhat Vu
My T. Thai
BDL
18
328
0
12 Oct 2020
Dirichlet Graph Variational Autoencoder
Dirichlet Graph Variational Autoencoder
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
24
52
0
09 Oct 2020
Improving Long-Tail Relation Extraction with Collaborating
  Relation-Augmented Attention
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
Yong Li
Tao Shen
Guodong Long
Jing Jiang
Dinesh Manocha
Chengqi Zhang
27
16
0
08 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
38
176
0
05 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
46
226
0
30 Sep 2020
Information Obfuscation of Graph Neural Networks
Information Obfuscation of Graph Neural Networks
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
AAML
23
34
0
28 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
14
50
0
24 Sep 2020
DGTN: Dual-channel Graph Transition Network for Session-based
  Recommendation
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
Yujia Zheng
Siyi Liu
Zekun Li
Shu Wu
23
37
0
21 Sep 2020
Exploring the Generalizability of Spatio-Temporal Traffic Prediction:
  Meta-Modeling and an Analytic Framework
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
Leye Wang
Di Chai
Xuanzhe Liu
Liyue Chen
Kai Chen
AI4TS
24
29
0
20 Sep 2020
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic
  Forecasting in Telecommunication Networks
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks
Marcus Kalander
Min Zhou
Chengzhi Zhang
Hanling Yi
Lujia Pan
AI4TS
18
19
0
17 Sep 2020
Federated Dynamic GNN with Secure Aggregation
Federated Dynamic GNN with Secure Aggregation
Meng Jiang
Taeho Jung
Ryan Karl
Tong Zhao
FedML
16
31
0
15 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
22
137
0
15 Sep 2020
GIKT: A Graph-based Interaction Model for Knowledge Tracing
GIKT: A Graph-based Interaction Model for Knowledge Tracing
Yang Yang
Jian Shen
Yanru Qu
Yunfei Liu
Kerong Wang
Yaoming Zhu
Weinan Zhang
Yong Yu
AI4Ed
16
125
0
13 Sep 2020
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
41
153
0
13 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
48
117
0
11 Sep 2020
3D Facial Matching by Spiral Convolutional Metric Learning and a
  Biometric Fusion-Net of Demographic Properties
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
S. Mahdi
N. Nauwelaers
P. Joris
Giorgos Bouritsas
Shunwang Gong
...
Susan Walsh
M. Shriver
M. Bronstein
P. Claes
.
3DH
29
5
0
10 Sep 2020
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
R. Vidaurre
I. Santesteban
Elena Garces
Dan Casas
AI4CE
3DH
25
79
0
09 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
32
160
0
07 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware
  Disease Prediction
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
Yongxiang Huang
Albert C. S. Chung
MedIm
19
61
0
06 Sep 2020
A curvature and density-based generative representation of shapes
A curvature and density-based generative representation of shapes
Zi Ye
Nobuyuki Umetani
Takeo Igarashi
T. Hoffmann
25
5
0
05 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with
  Limited Sensitive Attribute Information
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai
Suhang Wang
FaML
16
241
0
03 Sep 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional Networks
Kun Zhan
Chaoxi Niu
SSL
30
32
0
02 Sep 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers
  for Analyzing Data Analysis
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ashley Ge Zhang
Michael Merrill
Yang Liu
Jeffrey Heer
Tim Althoff
ViT
28
13
0
28 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
25
5
0
26 Aug 2020
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