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Diffusion-Convolutional Neural Networks

Diffusion-Convolutional Neural Networks

6 November 2015
James Atwood
Don Towsley
    GNN
    DiffM
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Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown
Title
Dual-Attention Graph Convolutional Network
Dual-Attention Graph Convolutional Network
Xueyao Zhang
Tong Zhang
Wenting Zhao
Zhen Cui
Jian Yang
GNN
25
8
0
28 Nov 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for
  Traffic Forecasting
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
Weiqiu Chen
Ling Chen
Yu Xie
Wei Cao
Yusong Gao
Xiaojie Feng
AI4TS
30
291
0
27 Nov 2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node
  Embedding to Graph Embedding
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Lingfei Wu
Ian En-Hsu Yen
Zhen Zhang
Kun Xu
Liang Zhao
Xi Peng
Yinglong Xia
Charu C. Aggarwal
24
31
0
25 Nov 2019
Multi-Component Graph Convolutional Collaborative Filtering
Multi-Component Graph Convolutional Collaborative Filtering
Tianlin Li
Ruijia Wang
C. Shi
Guojie Song
Qingyong Li
14
115
0
25 Nov 2019
SWAG: Item Recommendations using Convolutions on Weighted Graphs
SWAG: Item Recommendations using Convolutions on Weighted Graphs
Amit Pande
Kai Ni
Venkataramani Kini
GNN
33
9
0
22 Nov 2019
Fast and Deep Graph Neural Networks
Fast and Deep Graph Neural Networks
Claudio Gallicchio
Alessio Micheli
GNN
21
102
0
20 Nov 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
51
154
0
18 Nov 2019
Graph-Revised Convolutional Network
Graph-Revised Convolutional Network
Donghan Yu
Ruohong Zhang
Zhengbao Jiang
Yuexin Wu
Yiming Yang
GNN
27
97
0
17 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
M. Li
Meng Dong
Jiawei Zhou
Alexander M. Rush
AI4CE
GNN
43
7
0
13 Nov 2019
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
17
15
0
12 Nov 2019
Higher-order Weighted Graph Convolutional Networks
Higher-order Weighted Graph Convolutional Networks
Songtao Liu
Lingwei Chen
Hanze Dong
Zihao Wang
Dinghao Wu
Zengfeng Huang
GNN
17
26
0
11 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TS
AI4CE
46
1,348
0
11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark Coates
BDL
GNN
38
12
0
08 Nov 2019
Scalable Deep Generative Relational Models with High-Order Node
  Dependence
Scalable Deep Generative Relational Models with High-Order Node Dependence
Xuhui Fan
Bin Li
Scott A. Sisson
Caoyuan Li
Ling-Hao Chen
BDL
11
10
0
04 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge
  Variational Autoencoders
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang
Jieyu Zhang
Haonan Wang
Sha Li
M. Kim
Matthew Walker
Yiou Xiao
Jiawei Han
21
43
0
04 Nov 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
68
687
0
28 Oct 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph
  Learning
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Soumyasundar Pal
Florence Regol
Mark Coates
BDL
GNN
19
13
0
26 Oct 2019
Topological based classification using graph convolutional networks
Topological based classification using graph convolutional networks
R. Abel
I. Benami
Y. Louzoun
GNN
27
5
0
26 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
22
80
0
25 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Asiri Wijesinghe
Qing Wang
GNN
36
28
0
24 Oct 2019
Relation Modeling with Graph Convolutional Networks for Facial Action
  Unit Detection
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection
Zhilei Liu
Jiahui Dong
Cuicui Zhang
Longbiao Wang
J. Dang
CVBM
22
66
0
23 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
M. Liakata
GNN
42
3
0
03 Oct 2019
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural
  Network for Large-Scale Traffic Forecasting
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
Tanwi Mallick
Prasanna Balaprakash
E. Rask
Jane Macfarlane
DiffM
AI4TS
GNN
22
76
0
24 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer
  Learning
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedML
GNN
SSL
30
9
0
22 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
Stefan Sommer
A. Bronstein
23
11
0
13 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended
  Animation
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang
Lin Meng
21
52
0
12 Sep 2019
Context-Aware Graph Attention Networks
Context-Aware Graph Attention Networks
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
20
4
0
04 Sep 2019
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Yuting Wu
Xiao Liu
Yansong Feng
Zheng Wang
Rui Yan
Dongyan Zhao
27
335
0
22 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
21
164
0
19 Aug 2019
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
30
67
0
17 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional Networks
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
27
16
0
02 Aug 2019
Learning to Dress 3D People in Generative Clothing
Learning to Dress 3D People in Generative Clothing
Qianli Ma
Jinlong Yang
Anurag Ranjan
S. Pujades
Gerard Pons-Moll
Siyu Tang
Michael J. Black
3DH
21
12
0
31 Jul 2019
IsoNN: Isomorphic Neural Network for Graph Representation Learning and
  Classification
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng
Jiawei Zhang
GNN
21
18
0
22 Jul 2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph
  Convolutional Network
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
Bo Jiang
Xixi Wang
Bin Luo
14
19
0
20 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph Drawing
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
52
55
0
17 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks
Learning Functions over Sets via Permutation Adversarial Networks
Chirag Pabbaraju
Prateek Jain
22
8
0
12 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
33
74
0
10 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality
  Preservation
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo-feng Zhang
Lei Xie
GNN
34
55
0
04 Jul 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting
  Critical Structures
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Ruo-Chun Tzeng
Shan-Hung Wu
GNN
16
13
0
23 Jun 2019
Learning Representations of Graph Data -- A Survey
Learning Representations of Graph Data -- A Survey
Mital Kinderkhedia
GNN
30
12
0
07 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
FSPool: Learning Set Representations with Featurewise Sort Pooling
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
19
75
0
06 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph
  Classification
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu
Jingrui He
Jiejun Xu
GNN
27
196
0
05 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
  Networks
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
34
155
0
05 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
22
2,110
0
31 May 2019
Quantifying the Alignment of Graph and Features in Deep Learning
Quantifying the Alignment of Graph and Features in Deep Learning
Yifan Qian
P. Expert
Tom Rieu
P. Panzarasa
Mauricio Barahona
31
18
0
30 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
25
568
0
27 May 2019
SpecNet: Spectral Domain Convolutional Neural Network
SpecNet: Spectral Domain Convolutional Neural Network
Bochen Guan
Jinnian Zhang
W. Sethares
Richard Kijowski
Fang Liu
MQ
14
12
0
27 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAML
GNN
24
27
0
24 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting
  Structured Entity Interactions
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu
Peijie Wang
Long Chen
Jing Tao
Junzhou Zhao
GNN
27
91
0
23 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
40
21
0
21 May 2019
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