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Author

Mustafa Misir

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Jul 2026

Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes

GNNAS-TSP is introduced, a Graph Neural Network (GNN)-based AS framework that learns TSP instance representations directly from raw graph data, avoiding manual feature engineering and suggesting that GNNAS-TSP is a useful meta-solving strategy when exploitable variation exists across solver performance.

Zhaoxuan Li, Jiale Yang, Yi-Fei Lu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

Experiments on seven public EEG benchmarks demonstrate that EEG-AS substantially narrows the gap between the Single Best Solver (SBS) and the oracle upper bound for each instance, highlighting the effectiveness of instance-level AS for adaptive deployment of EEG foundation models.

Yunziyu Zhang, Ruo-Xi Piao, Muhammad Ibrahim Ali Shah et al. · 0 citations

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