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: "model counting for formulas of bounded clique width"
  Abstract: We show that #SAT is polynomial-time tractable for classes of CNF formulas whose incidence graphs have bounded symmetric clique-width (or bounded clique-width, or bounded rank-width). This result strictly generalizes polynomial-time tractability results for classes of formulas with signed incidence graphs of bounded clique-width and classes of formulas with incidence graphs of bounded modular treewidth, which were the most general results of this kind known so far.

Connected through hyperedge HE-1 (induced by source paper "revisiting graph width measures for cnf encodings"):
  with members:
    - "connecting knowledge compilation classes and width parameters"
    - "qbf as an alternative to courcelle s theorem"
    - "connecting width and structure in knowledge compilation"
    - "circuit treewidth sentential decision and query compilation"
    - "strong backdoors to bounded treewidth sat"
    - "a knowledge compilation map"

Connected through hyperedge HE-2 (induced by source paper "complexity and approximability of parameterized max csps"):
  with members:
    - "solving maxsat and sat on structured cnf formulas"
    - "tractable answer set programming with weight constraints bounded treewidth is not enough"
    - "guarantees and limits of preprocessing in constraint satisfaction and reasoning"
    - "a characterization of approximation resistance for even k partite csps"
    - "satisfiability of acyclic and almost acyclic cnf formulas"
    - "majority is stablest discrete and sos"
    - "backdoors to acyclic sat"
    - "not so easy problems for tree decomposable graphs"

Connected through hyperedge HE-3 (induced by source paper "understanding the complexity of sat using knowledge compilation"):
  with members:
    - "new limits for knowledge compilation and applications to exact model counting"
    - "hypergraph acyclicity and propositional model counting"
    - "solving maxsat and sat on structured cnf formulas"
    - "understanding model counting for beta acyclic cnf formulas"
    - "no small nondeterministic read once branching programs for cnfs of bounded treewidth"
    - "on obdds for cnfs of bounded treewidth"
    - "lower bounds for exact model counting and applications in probabilistic databases"
    - "satisfiability of acyclic and almost acyclic cnf formulas"

Connected through hyperedge HE-4 (induced by source paper "non fpt lower bounds for structural restrictions of decision dnnf"):
  with members:
    - "understanding the complexity of sat using knowledge compilation"
    - "hypergraph acyclicity and propositional model counting"
    - "solving maxsat and sat on structured cnf formulas"
    - "understanding model counting for beta acyclic cnf formulas"
    - "no small nondeterministic read once branching programs for cnfs of bounded treewidth"
    - "on obdds for cnfs of bounded treewidth"
    - "lower bounds for exact model counting and applications in probabilistic databases"

Connected through hyperedge HE-5 (induced by source paper "solving maxsat and sat on structured cnf formulas"):
  with members:
    - "recognizing interval bigraphs by forbidden patterns"
    - "homomorphic hashing for sparse coefficient extraction"
    - "better algorithms for satisfiability problems for formulas of bounded rank width"

Connected through hyperedge HE-6 (induced by source paper "hypergraph acyclicity and propositional model counting"):
  with members:
    - "satisfiability of acyclic and almost acyclic cnf formulas"

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)