Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

Research article (Nature Machine Intelligence, 2022) · cited 25× · AI/ML
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Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

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Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. Retrieved May 24, 2026, from https://4ort.xyz/entity/modern-graph-neural-networks-do-worse-than-classical-greedy-algorithms-in-solving-combinatorial-optimization-problems-li
MLA “Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modern-graph-neural-networks-do-worse-than-classical-greedy-algorithms-in-solving-combinatorial-optimization-problems-li.
BibTeX @misc{4ortxyz_modern-graph-neural-networks-do-worse-than-classical-greedy-algorithms-in-solving-combinatorial-optimization-problems-li_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set}}, year = {2026}, url = {https://4ort.xyz/entity/modern-graph-neural-networks-do-worse-than-classical-greedy-algorithms-in-solving-combinatorial-optimization-problems-li}, note = {Accessed: 2026-05-24}}
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