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: "understanding the complexity of sat using knowledge compilation"
  Abstract: Two main techniques have been used so far to solve the #P-hard problem #SAT. The first one, used in practice, is based on an extension of DPLL for model counting called exhaustive DPLL. The second approach, more theoretical, exploits the structure of the input to compute the number of satisfying assignments by usually using a dynamic programming scheme on a decomposition of the formula. In this paper, we make a first step toward the separation of these two techniques by exhibiting a family of formulas that can be solved in polynomial time with the first technique but needs an exponential time with the second one. We show this by observing that both techniques implicitely construct a very specific boolean circuit equivalent to the input formula. We then show that every beta-acyclic formula can be represented by a polynomial size circuit corresponding to the first method and exhibit a family of beta-acyclic formulas which cannot be represented by polynomial size circuits corresponding to the second method. This result shed a new light on the complexity of #SAT and related problems on beta-acyclic formulas. As a byproduct, we give new handy tools to design algorithms on beta-acyclic hypergraphs.

Connected through hyperedge HE-1 (induced by source paper "point width and max csps"):
  with members:
    - "constraint solving via fractional edge covers"
    - "the complexity of general valued csps seen from the other side"
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "the complexity of finite valued csps"
    - "general and fractional hypertree decompositions hard and easy cases"
    - "understanding model counting for beta acyclic cnf formulas"
    - "tractable optimization problems through hypergraph based structural restrictions"

Connected through hyperedge HE-2 (induced by source paper "regular resolution for cnf of bounded incidence treewidth with few long clauses"):
  with members:
    - "narrow proofs may be maximally long"
    - "understanding model counting for beta acyclic cnf formulas"
    - "on the read once property of branching programs and cnfs of bounded treewidth"

Connected through hyperedge HE-3 (induced by source paper "connecting knowledge compilation classes and width parameters"):
  with members:
    - "towards deterministic decomposable circuits for safe queries"
    - "on the relative succinctness of sentential decision diagrams"
    - "connecting width and structure in knowledge compilation"
    - "a circuit based approach to efficient enumeration"
    - "non fpt lower bounds for structural restrictions of decision dnnf"
    - "circuit treewidth sentential decision and query compilation"
    - "tractable lineages on treelike instances limits and extensions"
    - "sdds are exponentially more succinct than obdds"

Connected through hyperedge HE-4 (induced by source paper "counting minimal transversals of beta acyclic hypergraphs"):
  with members:
    - "on the enumeration of minimal dominating sets and related notions"
    - "understanding model counting for beta acyclic cnf formulas"
    - "the monadic second order logic of graphs xvi canonical graph decompositions"

Connected through hyperedge HE-5 (induced by source paper "non fpt lower bounds for structural restrictions of decision dnnf"):
  with members:
    - "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"
    - "model counting for formulas of bounded clique width"
    - "on obdds for cnfs of bounded treewidth"
    - "lower bounds for exact model counting and applications in probabilistic databases"

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)