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2309.01067
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MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
3 September 2023
Hao Zhang
Haisheng Li
Nan Li
Xiaochuan Wang
AI4CE
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Papers citing
"MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention"
22 / 22 papers shown
Title
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
Chaoning Zhang
Chenshuang Zhang
Sheng Zheng
Yu Qiao
Chenghao Li
...
Lik-Hang Lee
Yang Yang
Heng Tao Shen
In So Kweon
Choong Seon Hong
178
169
0
21 Mar 2023
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives
Na Lei
Zezeng Li
Zebin Xu
Ying Li
X. Gu
AI4CE
72
21
0
11 Nov 2022
Evaluating the Quality of Finite Element Meshes with Machine Learning
Joachim Sprave
C. Drescher
AI4CE
60
4
0
22 Jul 2021
How Attentive are Graph Attention Networks?
Shaked Brody
Uri Alon
Eran Yahav
GNN
135
1,092
0
30 May 2021
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
Razvan-Gabriel Cirstea
Chenjuan Guo
B. Yang
AI4TS
81
43
0
19 Mar 2021
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff
Meire Fortunato
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
AI4CE
82
806
0
07 Oct 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma
Junyu Xuan
Yu Guang Wang
Ming Li
Pietro Lio
GNN
75
55
0
29 Jun 2020
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Bo Zheng
Haoyang Wen
Yaobo Liang
Nan Duan
Wanxiang Che
Daxin Jiang
Ming Zhou
Ting Liu
62
47
0
12 May 2020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan
Soumya Sanyal
Partha P. Talukdar
GNN
190
336
0
18 Nov 2019
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev
Graham W. Taylor
Mohamed R. Amer
GNN
175
343
0
08 May 2019
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
109
2,506
0
19 Apr 2019
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
186
1,130
0
17 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
138
1,351
0
07 Apr 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
805
8,597
0
03 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
194
1,646
0
04 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
322
2,157
0
22 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
518
1,991
0
09 Jun 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
679
29,183
0
09 Sep 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
206
5,361
0
21 Nov 2012
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