IJCAI 20260 citations

ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search

Mingming Jin, Chu-Min Li, Kun He

Abstract

The Maximum Weight Clique Problem (MWCP) is NP-hard and is typically solved exactly within a Branch-and-Bound (BnB) framework, where the quality of upper bounds critically determines the pruning efficiency. Recent solvers enhance independent-set-based bounds using MaxSAT reasoning. However, their effectiveness is limited by two inherent limitations: (i) independent sets in conflicts are discarded after a single use, preventing their reuse in subsequent reasoning; and (ii) conflicts are detected in a fixed order regardless of their potential contribution to bound tightening. To address these issues, we propose two complementary techniques. The UnLocking Mechanism (ULM) preserves conflict cores and enables the reuse of independent sets in subsequent reasoning, while the Benefit-Enhanced Strategy (BES) steers the MaxSAT reasoning process toward conflicts and independent sets with higher pruning potential. By integrating ULM and BES, we develop a new solver, ULE-MWC (UnLocking Enhanced MWC). Experimental results on standard benchmarks show that ULE-MWC consistently yields tighter upper bounds and outperforms state-of-the-art exact solvers in both runtime and search efficiency.

Constraint Satisfaction and Optimization: Constraint optimization problemsConstraint Satisfaction and Optimization: Solvers and tools
BibTeX
@inproceedings{ijcai2026_ulemwcanunlockin,
  title = {ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search},
  author = {Mingming Jin and Chu-Min Li and Kun He},
  booktitle = {IJCAI 2026},
  year = {2026}
}