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 "non fpt lower bounds for structural restrictions of decision dnnf"):
  Abstract: We give a non-FPT lower bound on the size of structured decision DNNF and OBDD with decomposable AND-nodes representing CNF-formulas of bounded incidence treewidth. Both models are known to be of FPT size for CNFs of bounded primal treewidth. To the best of our knowledge this is the first parameterized separation of primal treewidth and incidence treewidth for knowledge compilation models.

Includes members:
  Member "understanding the complexity of sat using knowledge compilation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "point width and max csps")
  Member "hypergraph acyclicity and propositional model counting":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dependency weighted aggregation on factorized databases")
  Member "solving maxsat and sat on structured cnf formulas":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "knowledge compilation width and quantification")
  Member "understanding model counting for beta acyclic cnf formulas":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "approximate counting csp seen from the other side")
  Member "no small nondeterministic read once branching programs for cnfs of bounded treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "connecting knowledge compilation classes and width parameters")
  Member "model counting for formulas of bounded clique width":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "revisiting graph width measures for cnf encodings")
  Member "on obdds for cnfs of bounded treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "connecting knowledge compilation classes and width parameters")
  Member "lower bounds for exact model counting and applications in probabilistic databases":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the relation between structured d dnnfs and sdds")

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)