New method analyzes graph structures to benchmark shortest-path algorithms

Researchers have developed a new method for benchmarking shortest-path algorithms by analyzing graph structures. This approach embeds graphs into a feature space and clusters them to identify regions of similar structure, which are then used to evaluate algorithm performance. The study examined Erdos-Renyi graphs, random geometric graphs, and road networks, testing algorithms like Dijkstra, bidirectional Dijkstra, and A*. Findings indicate that while graph generators create stable structural regions, performance similarity does not always align with structural similarity, and different benchmark families occupy distinct regions. AI

RANK_REASON The cluster contains a research paper detailing a new methodology for algorithm benchmarking. [lever_c_demoted from research: ic=1 ai=0.4]

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• arXiv
• A* search algorithm
• bidirectional Dijkstra
• Dijkstra
• Erdos-Renyi graphs
• Graph Instance Landscapes
• Random geometric graphs

• paper
• other

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