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Probabilistic Dual Network Architecture Search on Graphs

Probabilistic Dual Network Architecture Search on Graphs

21 March 2020
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lió
M. Jamnik
    GNN
    AI4CE
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Papers citing "Probabilistic Dual Network Architecture Search on Graphs"

22 / 22 papers shown
Title
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
Qiyi Wang
Yinning Shao
Yunlong Ma
Min Liu
OOD
77
0
0
04 Mar 2025
Knowledge-aware Evolutionary Graph Neural Architecture Search
Knowledge-aware Evolutionary Graph Neural Architecture Search
Chao Wang
Jiaxuan Zhao
Lingling Li
Licheng Jiao
Fang Liu
Xu Liu
S. M. I. Simon X. Yang
80
2
0
26 Nov 2024
Efficient and Explainable Graph Neural Architecture Search via
  Monte-Carlo Tree Search
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
30
0
0
30 Aug 2023
Automated Polynomial Filter Learning for Graph Neural Networks
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu
Zhichao Hou
Xiaorui Liu
16
0
0
16 Jul 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural
  Networks
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng Xu
Lin Zhang
Xuanzhou Liu
Jiaqi Sun
Yue Zhao
Haiqing Yang
Bei Yu
GNN
21
8
0
23 May 2023
Neural Architecture Search: Insights from 1000 Papers
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Frank Hutter
3DV
AI4CE
34
128
0
20 Jan 2023
Efficient Automatic Machine Learning via Design Graphs
Efficient Automatic Machine Learning via Design Graphs
Shirley Wu
Jiaxuan You
J. Leskovec
Rex Ying
GNN
17
1
0
21 Oct 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Eric Wang
Zeyang Zhang
Wenwu Zhu
24
26
0
18 Jun 2022
Architectural Backdoors in Neural Networks
Architectural Backdoors in Neural Networks
Mikel Bober-Irizar
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Nicolas Papernot
AAML
11
23
0
15 Jun 2022
Model Architecture Adaption for Bayesian Neural Networks
Model Architecture Adaption for Bayesian Neural Networks
Duo Wang
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
UQCV
OOD
BDL
18
0
0
09 Feb 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and
  Directions
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
Xin Wang
Ziwei Zhang
Haoyang Li
Wenwu Zhu
36
2
0
04 Jan 2022
On Representation Knowledge Distillation for Graph Neural Networks
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
21
54
0
09 Nov 2021
Rapid Model Architecture Adaption for Meta-Learning
Rapid Model Architecture Adaption for Meta-Learning
Yiren Zhao
Xitong Gao
Ilia Shumailov
Nicolò Fusi
Robert D. Mullins
33
4
0
10 Sep 2021
Towards Efficient Point Cloud Graph Neural Networks Through
  Architectural Simplification
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
Shyam A. Tailor
R. D. Jong
Tiago Azevedo
Matthew Mattina
Partha P. Maji
3DPC
GNN
11
12
0
13 Aug 2021
Do We Need Anisotropic Graph Neural Networks?
Do We Need Anisotropic Graph Neural Networks?
Shyam A. Tailor
Felix L. Opolka
Pietro Lio'
Nicholas D. Lane
38
34
0
03 Apr 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
17
85
0
01 Mar 2021
Learned Low Precision Graph Neural Networks
Learned Low Precision Graph Neural Networks
Yiren Zhao
Duo Wang
Daniel Bates
Robert D. Mullins
M. Jamnik
Pietro Lió
GNN
33
34
0
19 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
33
108
0
04 Aug 2020
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
194
745
0
03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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