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: "the complexity of reasoning with cardinality restrictions and nominals in expressive description logics"
  Abstract: We study the complexity of the combination of the Description Logics ALCQ and ALCQI with a terminological formalism based on cardinality restrictions on concepts. These combinations can naturally be embedded into C2, the two variable fragment of predicate logic with counting quantifiers, which yields decidability in NExpTime. We show that this approach leads to an optimal solution for ALCQI, as ALCQI with cardinality restrictions has the same complexity as C2 (NExpTime-complete). In contrast, we show that for ALCQ, the problem can be solved in ExpTime. This result is obtained by a reduction of reasoning with cardinality restrictions to reasoning with the (in general weaker) terminological formalism of general axioms for ALCQ extended with nominals. Using the same reduction, we show that, for the extension of ALCQI with nominals, reasoning with general axioms is a NExpTime-complete problem. Finally, we sharpen this result and show that pure concept satisfiability for ALCQI with nominals is NExpTime-complete. Without nominals, this problem is known to be PSpace-complete.

Connected through hyperedge HE-1 (induced by source paper "satisfiability and query answering in description logics with global and local cardinality constraints"):
  with members:
    - "conjunctive query answering for the description logic shiq"
    - "data complexity of the two variable fragment with counting quantifiers"
    - "complexity results and practical algorithms for logics in knowledge representation"

Connected through hyperedge HE-2 (induced by source paper "ontology focusing knowledge enriched databases on demand"):
  with members:
    - "finite query answering in expressive description logics with transitive roles"
    - "research directions for principles of data management dagstuhl perspectives workshop 16151"
    - "foundations for uniform interpolation and forgetting in expressive description logics"
    - "defeasible inclusions in low complexity dls"
    - "the complexity of circumscription in description logic"
    - "complexity of the guarded two variable fragment with counting quantifiers"

Connected through hyperedge HE-3 (induced by source paper "the complexity of bayesian networks specified by propositional and relational languages"):
  with members:
    - "on the semantics and complexity of probabilistic logic programs"
    - "new liftable classes for first order probabilistic inference"
    - "inference and learning in probabilistic logic programs using weighted boolean formulas"
    - "lower complexity bounds for lifted inference"
    - "tractability through exchangeability a new perspective on efficient probabilistic inference"
    - "understanding the complexity of lifted inference and asymmetric weighted model counting"
    - "query dags a practical paradigm for implementing belief network inference"
    - "a simple fptas for counting edge covers"

Connected through hyperedge HE-4 (induced by source paper "dynamic bayesian ontology languages"):
  with members:
    - "relational bayesian networks"

Connected through hyperedge HE-5 (induced by source paper "managing change in graph structured data using description logics long version with appendix"):
  with members:
    - "description logic knowledge and action bases"

Connected through hyperedge HE-6 (induced by source paper "shape and content incorporating domain knowledge into shape analysis"):
  with members:
    - "on the concept of variable roles and its use in software analysis"
    - "fully automated shape analysis based on forest automata"

Connected through hyperedge HE-7 (induced by source paper "complexity analysis and variational inference for interpretation based probabilistic description logic"):
  with members:
    - "probabilistic description logics"
    - "relational bayesian networks"

Connected through hyperedge HE-8 (induced by source paper "reasoning over ontologies with hidden content the import by query approach"):
  with members:
    - "foundations for uniform interpolation and forgetting in expressive description logics"
    - "hypertableau reasoning for description logics"

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)