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1906.01227
Cited By
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"
50 / 68 papers shown
Title
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
38
1
0
07 Apr 2025
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
Alexandre Benoit
Pedram Asef
54
1
0
05 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Haoyu Lei
Kaiwen Zhou
Y. Li
Zhitang Chen
Farzan Farnia
DiffM
70
1
0
15 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
101
3
0
07 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
60
4
0
05 Feb 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang
Donglin Yang
Renjie Liao
DiffM
152
0
0
03 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
44
0
0
06 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Xiaokang Yang
Junchi Yan
32
16
0
18 Jul 2024
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
70
6
0
01 Jun 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
51
6
0
03 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
6
0
22 Apr 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Daisuke Kikuta
Hiroki Ikeuchi
Kengo Tajiri
Yuusuke Nakano
34
1
0
06 Mar 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu
Tinghan Ye
Wenbo Chen
Pascal Van Hentenryck
AI4TS
35
0
0
08 Jan 2024
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
34
32
0
13 Dec 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
P. F. Pimenta
Pedro H. C. Avelar
Luís C. Lamb
25
1
0
19 Apr 2023
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
33
118
0
16 Feb 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Yaobo Song
Laurens Bliek
Yingqian Zhang
34
1
0
08 Feb 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
24
38
0
06 Nov 2022
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann
Enrique Fita Sanmartín
Fred Hamprecht
OT
19
3
0
14 Oct 2022
Travel the Same Path: A Novel TSP Solving Strategy
Pin Hu
14
0
0
12 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
43
78
0
08 Oct 2022
On Representing Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
60
31
0
25 Sep 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
62
39
0
22 Sep 2022
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Siqi Wang
Yifan Wang
G. Tong
22
1
0
20 Sep 2022
Annealed Training for Combinatorial Optimization on Graphs
Haoran Sun
E. Guha
H. Dai
22
18
0
23 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
30
63
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
31
29
0
13 Jul 2022
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
Haofeng Yuan
Peng Jiang
Shiji Song
42
6
0
04 Jul 2022
Diffusion models as plug-and-play priors
Alexandros Graikos
Nikolay Malkin
Nebojsa Jojic
Dimitris Samaras
DiffM
48
218
0
17 Jun 2022
Machine learning-based patient selection in an emergency department
N. Furian
M. O'Sullivan
C. Walker
Melanie Reuter-Oppermann
14
0
0
08 Jun 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Minjun Kim
Junyoung Park
Jinkyoo Park
29
2
0
06 Jun 2022
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
26
10
0
27 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Zeyang Zhang
Ziwei Zhang
Xin Wang
Wenwu Zhu
26
42
0
07 Apr 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
27
4
0
02 Mar 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh
W. Lee
Xavier Bresson
T. Laurent
Nicholas Lim
OT
26
9
0
02 Mar 2022
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens
Jonas K. Falkner
Lars Schmidt-Thieme
SSL
19
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
GNN
20
7
0
03 Jan 2022
One model Packs Thousands of Items with Recurrent Conditional Query Learning
Dongda Li
Zhaoquan Gu
Yuexuan Wang
Changwei Ren
F. Lau
27
17
0
12 Nov 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
25
63
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
69
13
0
07 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Wenbin Ouyang
Yisen Wang
Shaochen Han
Zhejian Jin
Paul Weng
LRM
22
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
83
129
0
06 Oct 2021
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
24
3
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
22
3
0
10 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
64
67
0
15 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
M. Schuetz
J. K. Brubaker
H. Katzgraber
AI4CE
25
177
0
02 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
25
87
0
21 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
AI4CE
24
130
0
11 Jun 2021
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