Asymptotically Smaller Encodings for Graph Problems and Scheduling
- AI4CE

We show how several graph problems (e.g., vertex-cover, independent-set, -coloring) can be encoded into CNF using only many clauses, as opposed to the constraints used by standard encodings. This somewhat surprising result is a simple consequence of a result of Erdős, Chung, and Spencer (1983) about biclique coverings of graphs, and opens theoretical avenues to understand the success of "Bounded Variable Addition'' (Manthey, Heule, and Biere, 2012) as a preprocessing tool. Finally, we show a novel encoding for independent sets in some dense interval graphs using only clauses (the direct encoding uses ), which we have successfully applied to a string-compression encoding posed by Bannai et al. (2022). As a direct byproduct, we obtain a reduction in the encoding size of a scheduling problem posed by Mayank and Modal (2020) from to , where is the number of tasks, the total timespan, and the number of machines.
View on arXiv@article{subercaseaux2025_2506.14042, title={ Asymptotically Smaller Encodings for Graph Problems and Scheduling }, author={ Bernardo Subercaseaux }, journal={arXiv preprint arXiv:2506.14042}, year={ 2025 } }