Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation
Summary: Incremental edge-cost computation for min-cost bipartite matching via KM/Hungarian, guided by a cheap lower bound to evaluate edges on demand. Empirical results show strong runtime savings on real data; broad applicability where lower bounds exist. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,170 | Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation | 2012 | VLDB | 0.00013511856 |
| 2,332 | Order Dispatch in Price-aware Ridesharing | 2018 | VLDB | 9.0171784e-05 |
| 5,326 | Earth Mover's Distance based Similarity Search at Scale | 2014 | VLDB | 5.5680074e-05 |
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