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Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification

Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification

4 January 2022
Yan Pang
Chao Liu
    GNN
ArXivPDFHTML

Papers citing "Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification"

34 / 34 papers shown
Title
Finding Global Homophily in Graph Neural Networks When Meeting
  Heterophily
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
51
191
0
15 May 2022
Understanding over-squashing and bottlenecks on graphs via curvature
Understanding over-squashing and bottlenecks on graphs via curvature
Jake Topping
Francesco Di Giovanni
B. Chamberlain
Xiaowen Dong
M. Bronstein
101
442
0
29 Nov 2021
FDGATII : Fast Dynamic Graph Attention with Initial Residual and
  Identity Mapping
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity Mapping
Gayan K. Kulatilleke
Marius Portmann
Ryan K. L. Ko
Shekhar S. Chandra
55
9
0
21 Oct 2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes
  Without Passing Messages
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages
Yi Luo
Aiguo Chen
Ke Yan
Ling Tian
46
15
0
16 Jun 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features
WGCN: Graph Convolutional Networks with Weighted Structural Features
Yunxiang Zhao
Jianzhong Qi
Qingwei Liu
Rui Zhang
GNN
48
35
0
29 Apr 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series
  Forecasting -- Full version
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
Razvan-Gabriel Cirstea
Chenjuan Guo
B. Yang
AI4TS
61
43
0
19 Mar 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
92
252
0
12 Feb 2021
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Barbara Rychalska
Piotr Bkabel
Konrad Goluchowski
Andrzej Michalowski
Jacek Dkabrowski
54
17
0
03 Feb 2021
Directed Graph Convolutional Network
Directed Graph Convolutional Network
Zekun Tong
Yuxuan Liang
Changsheng Sun
David S. Rosenblum
A. Lim
BDL
GNN
84
116
0
29 Apr 2020
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed
  Payoffs
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Bo Xue
Guanghui Wang
Yimu Wang
Lijun Zhang
21
49
0
28 Apr 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
294
1,116
0
13 Feb 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
85
141
0
03 Feb 2020
Explain Graph Neural Networks to Understand Weighted Graph Features in
  Node Classification
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification
Xiaoxiao Li
João Saúde
36
18
0
02 Feb 2020
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on
  Graph Semi-Supervised Classification
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification
Jiawei Zhang
GNN
34
4
0
22 Jan 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Graph-Bert: Only Attention is Needed for Learning Graph Representations
Jiawei Zhang
Haopeng Zhang
Congying Xia
Li Sun
69
304
0
15 Jan 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
250
857
0
28 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
75
1,100
0
07 Sep 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
101
1,334
0
25 Jul 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
64
46
0
21 Jun 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao
Hong Yang
Peng Zhang
Chuan Zhou
Yue Hu
AI4CE
GNN
58
100
0
22 Apr 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
511
8,496
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
804
5,493
0
20 Dec 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
135
1,357
0
14 Nov 2018
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNN
AI4CE
PINN
OCL
168
598
0
04 Jun 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
101
573
0
20 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
416
20,061
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
442
15,179
0
07 Jun 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
500
1,407
0
01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
386
1,818
0
25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
559
28,964
0
09 Sep 2016
Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation
Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation
A. P. García-Plaza
V. Fresno
R. M. Unanue
A. Zubiaga
30
25
0
14 Jun 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
266
5,518
0
23 Nov 2015
Image-based Recommendations on Styles and Substitutes
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
115
2,396
0
15 Jun 2015
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
318
25,569
0
09 Jun 2011
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