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Learning Combinatorial Optimization on Graphs: A Survey with
  Applications to Networking

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

22 May 2020
N. Vesselinova
Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking"

22 / 22 papers shown
Title
Design of mechanisms for ensuring the execution of tasks in project planning
Oksana Mulesa
Petro Horvat
Tamara Radivilova
Volodymyr Sabadosh
Oleksii Baranovskyi
Sergii Duran
19
6
0
03 Jan 2025
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and
  Optimization
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization
James Kotary
Vincenzo Di Vito
Jacob K Christopher
Pascal Van Hentenryck
Ferdinando Fioretto
32
3
0
22 Nov 2023
Equivariant Deep Weight Space Alignment
Equivariant Deep Weight Space Alignment
Aviv Navon
Aviv Shamsian
Ethan Fetaya
Gal Chechik
Nadav Dym
Haggai Maron
21
21
0
20 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
24
11
0
04 Oct 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu
Lin Zhang
Jiaqi Sun
Yujiu Yang
Haiqing Yang
17
2
0
10 Jun 2023
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
19
0
0
23 Nov 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
18
77
0
08 Oct 2022
Self-Supervised Primal-Dual Learning for Constrained Optimization
Self-Supervised Primal-Dual Learning for Constrained Optimization
Seonho Park
Pascal Van Hentenryck
23
46
0
18 Aug 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
21
10
0
27 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
22
23
0
05 May 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised
  Learning
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning
Eric Larsen
Emma Frejinger
B. Gendron
Andrea Lodi
20
18
0
02 May 2022
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
Qiuchen Qian
James O’Keeffe
Yanran Wang
David E. Boyle
6
4
0
09 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
22
4
0
02 Mar 2022
Far-UVC Disinfection with Robotic Mobile Manipulator
Far-UVC Disinfection with Robotic Mobile Manipulator
Ishaan Mehta
Hao-Ya Hsueh
Nikolaos Kourtzanidis
Mateusz Brylka
Sajad Saeedi
17
7
0
02 Mar 2022
Learning for Robust Combinatorial Optimization: Algorithm and
  Application
Learning for Robust Combinatorial Optimization: Algorithm and Application
Zhihui Shao
Jianyi Yang
Cong Shen
Shaolei Ren
20
6
0
20 Dec 2021
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
67
0
15 Jul 2021
Efficient Active Search for Combinatorial Optimization Problems
Efficient Active Search for Combinatorial Optimization Problems
André Hottung
Yeong-Dae Kwon
Kevin Tierney
8
82
0
09 Jun 2021
Constructions in combinatorics via neural networks
Constructions in combinatorics via neural networks
Adam Zsolt Wagner
BDL
24
50
0
29 Apr 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
35
115
0
23 Feb 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
30
346
0
18 Feb 2021
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
48
183
0
16 Oct 2019
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