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Learning Lagrangian Multipliers for the Travelling Salesman Problem

Learning Lagrangian Multipliers for the Travelling Salesman Problem

22 December 2023
Augustin Parjadis
Quentin Cappart
B. Dilkina
Aaron Ferber
Louis-Martin Rousseau
ArXiv (abs)PDFHTML

Papers citing "Learning Lagrangian Multipliers for the Travelling Salesman Problem"

15 / 15 papers shown
Title
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun
  Heuristic for Solving the Traveling Salesman Problem
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
40
110
0
15 Oct 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family
  Distributions
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert
Pasquale Minervini
Luca Franceschi
62
87
0
03 Jun 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
82
360
0
18 Feb 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
455
950
0
02 Mar 2020
MIPaaL: Mixed Integer Program as a Layer
MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber
Bryan Wilder
B. Dilkina
Milind Tambe
75
146
0
12 Jul 2019
Exact Combinatorial Optimization with Graph Convolutional Neural
  Networks
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
GNNCML
142
489
0
04 Jun 2019
SATNet: Bridging deep learning and logical reasoning using a
  differentiable satisfiability solver
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRMNAI
78
265
0
29 May 2019
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Guiding High-Performance SAT Solvers with Unsat-Core Predictions
Daniel Selsam
Nikolaj S. Bjørner
NAI
79
121
0
12 Mar 2019
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
155
1,392
0
15 Nov 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
123
1,223
0
22 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
116
1,473
0
05 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
165
972
0
01 Mar 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
158
1,493
0
29 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
657
29,154
0
09 Sep 2016
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