GES-TSP: Graph Edge Sparsification for TSP
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arXiv:2607.09708v1 Announce Type: new Abstract: Solving large-scale instances of the Traveling Salesman Problem (TSP) exactly is computationally expensive. Researchers often employ graph sparsification methods to improve computational efficiency. Traditional sparsification methods typically rely on fixed heuristics and fail to fully exploit instance-specific structural information. In this paper, we propose Graph Edge Sparsification (GES), a learning-based sparsification approach for Euclidean…
1Key Takeaways
- arXiv:2607.09708v1 Announce Type: new Abstract: Solving large-scale instances of the Traveling Salesman Problem (TSP) exactly is computationally expensive.
- Researchers often employ graph sparsification methods to improve computational efficiency.
- Traditional sparsification methods typically rely on fixed heuristics and fail to fully exploit instance-specific structural information.
- In this paper, we propose Graph Edge Sparsification (GES), a learning-based sparsification approach for Euclidean….
2AIWedia Score
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3Why it matters
Research breakthroughs often arrive in products months later—early signals matter for strategy. arXiv cs.AI reports that arXiv:2607.09708v1 Announce Type: new Abstract: Solving large-scale instances of the Traveling Salesman Problem (TSP) exactly is computationally expensive.
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