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: "expander cnfs have exponential dnnf size"
  Abstract: Decomposable Negation Normal Forms (DNNFs) are a restricted form of Boolean circuits in negation normal form where the subcircuits leading into each AND gate are defined on disjoint sets of variables. We prove an unconditional exponential lower bound on the size of DNNFs for a class of CNF formulas built from expander graphs. This result settles several open problems in the area of knowledge compilation (Darwiche and Marquis, 2002).

Connected through hyperedge HE-1 (induced by source paper "smoothing structured decomposable circuits"):
  with members:
    - "approximate knowledge compilation by online collapsed importance sampling"
    - "on relaxing determinism in arithmetic circuits"
    - "a semantic loss function for deep learning with symbolic knowledge"
    - "maximum a posteriori inference in sum product networks"
    - "on the latent variable interpretation in sum product networks"
    - "the sum product theorem a foundation for learning tractable models"
    - "inference and learning in probabilistic logic programs using weighted boolean formulas"
    - "skolemization for weighted first order model counting"

Connected through hyperedge HE-2 (induced by source paper "backdoor decomposable monotone circuits and their propagation complete encodings"):
  with members:
    - "propagation complete encodings of smooth dnnf theories"
    - "on tackling the limits of resolution in sat solving"
    - "circuit complexity and decompositions of global constraints"
    - "a knowledge compilation map"

Connected through hyperedge HE-3 (induced by source paper "lower bounds on the mim width of some graph classes"):
  with members:
    - "a width parameter useful for chordal and co comparability graphs"
    - "on satisfiability problems with a linear structure"
    - "sim width and induced minors"
    - "understanding model counting for beta acyclic cnf formulas"
    - "no small nondeterministic read once branching programs for cnfs of bounded treewidth"

Connected through hyperedge HE-4 (induced by source paper "on oblivious branching programs with bounded repetition that cannot efficiently compute cnfs of bounded treewidth"):
  with members:
    - "width hierarchy for k obdd of small width"
    - "two types of branching programs with bounded repetition that cannot efficiently compute monotone 3 cnfs"
    - "no small nondeterministic read once branching programs for cnfs of bounded treewidth"
    - "on the read once property of branching programs and cnfs of bounded treewidth"
    - "on obdds for cnfs of bounded treewidth"

Connected through hyperedge HE-5 (induced by source paper "on the read once property of branching programs and cnfs of bounded treewidth"):
  with members:
    - "on obdds for cnfs of bounded treewidth"
    - "lower bounds for exact model counting and applications in probabilistic databases"
    - "a knowledge compilation map"

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.CC(Computational Complexity)