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October 20, 2025Open Access

A Near-Real-Time Reduction-Based Algorithm for Coloring Massive Graphs

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This algorithm finds optimal solutions for graph coloring, suggesting reduction techniques enhance performance.

RECOL outperforms state-of-the-art algorithms on very large sparse graphs within one minute, demonstrating its efficiency.
The algorithm uses three reduction techniques: domination reduction, complement crown reduction, and independent set reduction.
Evaluation across benchmark datasets like SNAP and DIMACS10 shows consistent improvement over traditional methods.
The use of reduction techniques is pivotal in achieving heightened performance for coloring massive graphs.

Zhu et al. (2025) studied this question.

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