ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 2265-2272.
https://doi.org/10.24963/ijcai.2026/252
Keywords
- Constraint Satisfaction and Optimization: Constraint optimization problems
- Constraint Satisfaction and Optimization: Solvers and tools
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.
@inproceedings{ijcai2026p252,
title = {ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search},
author = {Jin, Mingming and Li, Chu-Min and He, Kun},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {2265--2272},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/252},
url = {https://doi.org/10.24963/ijcai.2026/252},
}
TY - CPAPER TI - ULE-MWC: An UnLocking-Enhanced Lookahead Framework for Exact Maximum Weight Clique Search AU - Jin, Mingming AU - Li, Chu-Min AU - He, Kun T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 2265 EP - 2272 DO - 10.24963/ijcai.2026/252 UR - https://doi.org/10.24963/ijcai.2026/252 ER -Copied
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