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Barriers for the performance of graph neural networks (GNN) in discrete
  random structures. A comment
  on~\cite{schuetz2022combinatorial},\cite{angelini2023modern},\cite{schuetz2023reply}

Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~\cite{schuetz2022combinatorial},\cite{angelini2023modern},\cite{schuetz2023reply}

5 June 2023
D. Gamarnik
ArXivPDFHTML

Papers citing "Barriers for the performance of graph neural networks (GNN) in discrete random structures. A comment on~\cite{schuetz2022combinatorial},\cite{angelini2023modern},\cite{schuetz2023reply}"

2 / 2 papers shown
Title
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
36
22
0
02 Oct 2022
Optimal Low-Degree Hardness of Maximum Independent Set
Optimal Low-Degree Hardness of Maximum Independent Set
Alexander S. Wein
32
44
0
13 Oct 2020
1