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2006.03750
Cited By
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
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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
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
Pierre Osselin
Henry Kenlay
Xiaowen Dong
37
0
0
20 Jun 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Dinghuai Zhang
H. Dai
Nikolay Malkin
Aaron Courville
Yoshua Bengio
L. Pan
30
36
0
26 May 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
C. Cunha
Wen Liu
T. French
Ajmal Mian
26
1
0
26 Feb 2023
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
Chen-Ping Yu
Sicun Gao
37
47
0
17 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
47
80
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
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
Minsu Kim
Junyoung Park
Jinkyoo Park
78
80
0
26 May 2022
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
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
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
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
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
32
54
0
06 May 2021
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
D. Beloborodov
Alexander Ulanov
Jakob N. Foerster
Shimon Whiteson
A. I. L. R. Q. Center
38
21
0
11 Feb 2020
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