|Authors||K. Kaya, J. Langguth, I. Panagiotas and B. Uçar|
|Title||Karp-Sipser based Kernels for Bipartite Graph Matching|
|Project(s)||Meeting Exascale Computing with Source-to-Source Compilers, UMOD: Understanding and Monitoring Digital Wildfires|
|Publication Type||Proceedings, refereed|
|Year of Publication||2020|
|Conference Name||Algorithm Engineering and Experiment (ALENEX)|
We consider Karp–Sipser, a well known matching heuristic in the context of data reduction for the max- imum cardinality matching problem. We describe an efficient implementation as well as modifications to reduce its time complexity in worst case instances, both in theory and in practical cases. We compare experimentally against its widely used simpler variant and show cases for which the full algorithm yields better performance.