human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "algorithms for weighted boolean optimization"
  Abstract: The Pseudo-Boolean Optimization (PBO) and Maximum Satisfiability (MaxSAT) problems are natural optimization extensions of Boolean Satisfiability (SAT). #R##N#In the recent past, different algorithms have been proposed for PBO and for MaxSAT, despite the existence of straightforward mappings from PBO to MaxSAT and vice-versa. This papers proposes Weighted Boolean Optimization (WBO), a new unified framework that aggregates and extends PBO and MaxSAT. In addition, the paper proposes a new unsatisfiability-based algorithm for WBO, based on recent unsatisfiability-based algorithms for MaxSAT. Besides standard MaxSAT, the new algorithm can also be used to solve weighted MaxSAT and PBO, handling pseudo-Boolean constraints either natively or by translation to clausal form. Experimental results illustrate that unsatisfiability-based algorithms for MaxSAT can be orders of magnitude more efficient than existing dedicated algorithms. Finally, the paper illustrates how other algorithms for either PBO or MaxSAT can be extended to WBO.

Connected through hyperedge HE-1 (induced by source paper "joint reasoning for multi faceted commonsense knowledge"):
  with members:
    - "comet commonsense transformers for automatic knowledge graph construction"
    - "explain yourself leveraging language models for commonsense reasoning"
    - "embedding uncertain knowledge graphs"
    - "commonsenseqa a question answering challenge targeting commonsense knowledge"
    - "atomic an atlas of machine commonsense for if then reasoning"
    - "engaging image captioning via personality"
    - "moving beyond the turing test with the allen ai science challenge"
    - "vqa visual question answering"

Connected through hyperedge HE-2 (induced by source paper "reflections on incremental cardinality constraints for maxsat"):
  with members:
    - "exploiting resolution based representations for maxsat solving"
    - "property driven fence insertion using reorder bounded model checking"

Connected through hyperedge HE-3 (induced by source paper "anytime answer set optimization via unsatisfiable core shrinking"):
  with members:
    - "complexity and compilation of gz aggregates in answer set programming"
    - "rewriting recursive aggregates in answer set programming back to monotonicity"
    - "anytime computation of cautious consequences in answer set programming"
    - "vicious circle principle and logic programs with aggregates"
    - "complex optimization in answer set programming"
    - "on solving boolean multilevel optimization problems"
    - "logic programs with propositional connectives and aggregates"

Connected through hyperedge HE-4 (induced by source paper "generalized totalizer encoding for pseudo boolean constraints"):
  with members:
    - "incremental cardinality constraints for maxsat"
    - "a new look at bdds for pseudo boolean constraints"
    - "solving linux upgradeability problems using boolean optimization"

Connected through hyperedge HE-5 (induced by source paper "incremental cardinality constraints for maxsat"):
  with members:
    - "incremental qbf solving"
    - "solving linux upgradeability problems using boolean optimization"
    - "cause clue clauses error localization using maximum satisfiability"
    - "on using unsatisfiability for solving maximum satisfiability"

Connected through hyperedge HE-6 (induced by source paper "on when and how to use sat to mine frequent itemsets"):
  with members:
    - "discovering knowledge using a constraint based language"
    - "mining all non derivable frequent itemsets"

Connected through hyperedge HE-7 (induced by source paper "evolved preambles for max sat heuristics"):
  with members:
    - "provably bounded optimal agents"

Connected through hyperedge HE-8 (induced by source paper "solving linux upgradeability problems using boolean optimization"):
  with members:
    - "handling software upgradeability problems with milp solvers"
    - "on solving boolean multilevel optimization problems"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)