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An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for
  Traveling Salesman Problems

An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems

10 October 2023
Shiqing Liu
Xueming Yan
Yaochu Jin
ArXivPDFHTML

Papers citing "An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems"

13 / 13 papers shown
Title
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
134
6
0
01 Jun 2024
Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
67
64
0
18 Jan 2024
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
52
66
0
12 Oct 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
82
48
0
31 May 2023
POMO: Policy Optimization with Multiple Optima for Reinforcement
  Learning
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon
Jinho Choo
Byoungjip Kim
Iljoo Yoon
Youngjune Gwon
Seungjai Min
56
325
0
30 Oct 2020
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
131
1,367
0
15 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
139
7,554
0
01 Oct 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
361
3,101
0
04 Jun 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
81
1,193
0
22 Mar 2018
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
84
1,453
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
105
1,472
0
29 Nov 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
84
3,036
0
09 Jun 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
371
27,205
0
01 Sep 2014
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