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Learning to Solve Combinatorial Optimization Problems on Real-World
  Graphs in Linear Time

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time

6 June 2020
Iddo Drori
Anant Kharkar
William R. Sickinger
Brandon Kates
Qiang Ma
Suwen Ge
Eden Dolev
Brenda L Dietrich
David P. Williamson
Madeleine Udell
ArXivPDFHTML

Papers citing "Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time"

17 / 17 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
70
6
0
01 Jun 2024
Structure-Aware Robustness Certificates for Graph Classification
Structure-Aware Robustness Certificates for Graph Classification
Pierre Osselin
Henry Kenlay
Xiaowen Dong
37
0
0
20 Jun 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems
  with GFlowNets
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Dinghuai Zhang
H. Dai
Nikolay Malkin
Aaron Courville
Yoshua Bengio
L. Pan
28
36
0
26 May 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
C. Cunha
Wei Liu
T. French
Ajmal Mian
26
1
0
26 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
38
121
0
16 Feb 2023
Reducing Collision Checking for Sampling-Based Motion Planning Using
  Graph Neural Networks
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chen-Ping Yu
Sicun Gao
37
47
0
17 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
45
80
0
08 Oct 2022
On Representing Linear Programs by Graph Neural Networks
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
Learning to Solve Combinatorial Graph Partitioning Problems via
  Efficient Exploration
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
29
10
0
27 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
78
80
0
26 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
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
68
0
15 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph
  Optimization Problems on MultiGPU Systems
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Weijian Zheng
Dali Wang
Fengguang Song
GNN
OffRL
AI4CE
20
1
0
18 May 2021
Solve routing problems with a residual edge-graph attention neural
  network
Solve routing problems with a residual edge-graph attention neural network
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
32
54
0
06 May 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
32
348
0
18 Feb 2021
Reinforcement Learning Enhanced Quantum-inspired Algorithm for
  Combinatorial Optimization
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
38
21
0
11 Feb 2020
1