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A Short Review on Novel Approaches for Maximum Clique Problem: from
  Classical algorithms to Graph Neural Networks and Quantum algorithms

A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms

13 March 2024
Raffaele Marino
L. Buffoni
Bogdan Zavalnij
    GNN
ArXivPDFHTML

Papers citing "A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms"

4 / 4 papers shown
Title
Finding planted cliques using Markov chain Monte Carlo
Finding planted cliques using Markov chain Monte Carlo
Reza Gheissari
Aukosh Jagannath
Yiming Xu
21
3
0
13 Nov 2023
Inability of a graph neural network heuristic to outperform greedy
  algorithms in solving combinatorial optimization problems like Max-Cut
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut
S. Boettcher
GNN
18
22
0
02 Oct 2022
Nonequilibrium Monte Carlo for unfreezing variables in hard
  combinatorial optimization
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
Masoud Mohseni
D. Eppens
J. Strümpfer
Raffaele Marino
Vasil S. Denchev
A. Ho
Sergei V. Isakov
Sergio Boixo
F. Ricci-Tersenghi
Hartmut Neven
13
20
0
26 Nov 2021
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
167
170
0
09 Mar 2020
1