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1906.01227
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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
4 June 2019
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
GNN
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Papers citing
"An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem"
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Title
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
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W. Lee
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Nicholas Lim
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Pashootan Vaezipoor
Max B. Paulus
Yangjun Ruan
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17 Feb 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
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Yaoxin Wu
Zhiguang Cao
Jie Zhang
OOD
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15 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing
Hyeokjin Kwon
Jong-Min Lee
40
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0
08 Feb 2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
Laurens Bliek
P. Costa
Reza Refaei Afshar
Yingqian Zhang
Tom Catshoek
...
Ricardo Gama
Hugo L. Fernandes
Martin Zaefferer
Manuel López-Ibánez
Ekhine Irurozki
67
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0
25 Jan 2022
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens
Jonas K. Falkner
Lars Schmidt-Thieme
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42
2
0
05 Jan 2022
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure
Matteo Boffa
Zied Ben-Houidi
J. Krolikowski
Dario Rossi
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116
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03 Jan 2022
One model Packs Thousands of Items with Recurrent Conditional Query Learning
Dongda Li
Zhaoquan Gu
Yuexuan Wang
Changwei Ren
F. Lau
81
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12 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
100
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09 Nov 2021
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Simon Geisler
Johanna Sommer
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
60
39
0
21 Oct 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features
Shanchao Yang
Kaili Ma
Baoxiang Wang
Tianshu Yu
H. Zha
AAML
69
0
0
18 Oct 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
52
113
0
15 Oct 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
104
69
0
11 Oct 2021
Generalization in Deep RL for TSP Problems via Equivariance and Local Search
Wenbin Ouyang
Yisen Wang
Paul Weng
Shaochen Han
LRM
115
14
0
07 Oct 2021
Hybrid Pointer Networks for Traveling Salesman Problems Optimization
Ahmed Stohy
Heba-Tullah Abdelhakam
Sayed Ali
Mohammed Elhenawy
Abdallah A. Hassan
Mahmoud Masoud
Sébastien Glaser
A. Rakotonirainy
58
14
0
06 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Wenbin Ouyang
Yisen Wang
Shaochen Han
Zhejian Jin
Paul Weng
LRM
62
11
0
06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Le Zhang
Zhenghua Chen
Jing Tang
168
140
0
06 Oct 2021
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
34
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0
17 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
52
3
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10 Aug 2021
CPPNet: A Coverage Path Planning Network
Zongyuan Shen
Palash Agrawal
James P. Wilson
Ryan Harvey
Shalabh Gupta
3DV
26
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03 Aug 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
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Learning Geometric Combinatorial Optimization Problems using Self-attention and Domain Knowledge
Jaeseung Lee
Woojin Choi
Jibum Kim
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05 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
M. Schuetz
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H. Katzgraber
AI4CE
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02 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
108
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21 Jun 2021
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Haipeng Chen
Wei Qiu
H. Ou
Bo An
Milind Tambe
44
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13 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar
D. Hogg
Kate Storey-Fisher
Weichi Yao
Ben Blum-Smith
PINN
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81
136
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11 Jun 2021
Efficient Active Search for Combinatorial Optimization Problems
André Hottung
Yeong-Dae Kwon
Kevin Tierney
91
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09 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang
Zhigang Hua
Gan Liu
Jiayi Zhang
Junchi Yan
Feng Qi
Shuang Yang
Jun Zhou
Xiaokang Yang
60
44
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09 Jun 2021
Learning Combinatorial Node Labeling Algorithms
Lukas Gianinazzi
M. Fries
Nikoli Dryden
Tal Ben-Nun
Maciej Besta
Torsten Hoefler
GNN
OffRL
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15
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07 Jun 2021
Experiments with graph convolutional networks for solving the vertex
p
p
p
-center problem
Elisabeth Gaar
Markus Sinnl
GNN
32
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0
01 Jun 2021
Solve routing problems with a residual edge-graph attention neural network
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
77
58
0
06 May 2021
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Ahmad Bdeir
Simon Boeder
Tim Dernedde
K. Tkachuk
Jonas K. Falkner
Lars Schmidt-Thieme
34
10
0
25 Apr 2021
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks
Alice Gatti
Zhixiong Hu
Tess E. Smidt
E. Ng
P. Ghysels
48
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08 Apr 2021
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
Tian Huang
Siong Thye Goh
Sabrish Gopalakrishnan
Yaoyu Zhang
Qianxiao Li
H. Lau
38
5
0
19 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina V. Tolstaya
Landon Butler
Daniel Mox
James Paulos
Vijay Kumar
Alejandro Ribeiro
126
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08 Mar 2021
The Transformer Network for the Traveling Salesman Problem
Xavier Bresson
T. Laurent
104
87
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04 Mar 2021
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N. Sultana
Vinita Baniwal
Ansuma Basumatary
P. Mittal
Supratim Ghosh
H. Khadilkar
47
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24 Feb 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
115
124
0
23 Feb 2021
Analytics and Machine Learning in Vehicle Routing Research
Ruibin Bai
Xinan Chen
Zhi-Long Chen
Tianxiang Cui
Shuhui Gong
...
Zhengyong Lu
Jianfeng Ren
Paul Weng
Ning Xue
Huayan Zhang
107
81
0
19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
128
361
0
18 Feb 2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Fan Yao
Renqin Cai
Hongning Wang
80
11
0
14 Feb 2021
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
Kaiwen Li
Tao Zhang
Yuheng Wang
Yi Han
BDL
104
67
0
11 Feb 2021
Learning Vehicle Routing Problems using Policy Optimisation
N. Sultana
Jeffrey Chan
•. A. K. Qin
Tabinda Sarwar
39
5
0
24 Dec 2020
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
Zhang-Hua Fu
K. Qiu
H. Zha
TPM
99
184
0
19 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
62
5
0
19 Dec 2020
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
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42
8
0
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Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
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Kun He
Jianrong Zhou
Yan Jin
ChuMin Li
80
63
0
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Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization
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Arash Afkanpour
Graham W. Taylor
58
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A step towards neural genome assembly
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Petar Velickovic
M. Šikić
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49
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Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
Ekaterina V. Tolstaya
James Paulos
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Alejandro Ribeiro
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0
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