human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the complexity of bayesian networks specified by propositional and relational languages"):
  Abstract: We examine the complexity of inference in Bayesian networks specified by logical languages. We consider representations that range from fragments of propositional logic to function-free first-order logic with equality; in doing so we cover a variety of plate models and of probabilistic relational models. We study the complexity of inferences when network, query and domain are the input (the inferential and the combined complexity), when the network is fixed and query and domain are the input (the query/data complexity), and when the network and query are fixed and the domain is the input (the domain complexity). We draw connections with probabilistic databases and liftability results, and obtain complexity classes that range from polynomial to exponential levels.

Includes members:
  Member "on the semantics and complexity of probabilistic logic programs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a credal extension of independent choice logic")
  Member "new liftable classes for first order probabilistic inference":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "constraint based inference in probabilistic logic programs")
  Member "inference and learning in probabilistic logic programs using weighted boolean formulas":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from statistical relational to neuro symbolic artificial intelligence")
  Member "lower complexity bounds for lifted inference":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "symmetric weighted first order model counting")
  Member "tractability through exchangeability a new perspective on efficient probabilistic inference":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "relational pooling for graph representations")
  Member "understanding the complexity of lifted inference and asymmetric weighted model counting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on constrained open world probabilistic databases")
  Member "query dags a practical paradigm for implementing belief network inference":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a tutorial on learning with bayesian networks")
  Member "a simple fptas for counting edge covers":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "zeros and approximations of holant polynomials on the complex plane")

Question: Please tell me which class the source paper 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)