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 model counting for beta acyclic cnf formulas"
  Abstract: We extend the knowledge about so-called structural restrictions of $\mathrm{\#SAT}$ by giving a polynomial time algorithm for $\beta$-acyclic $\mathrm{\#SAT}$. In contrast to previous algorithms in the area, our algorithm does not proceed by dynamic programming but works along an elimination order, solving a weighted version of constraint satisfaction. Moreover, we give evidence that this deviation from more standard algorithm is not a coincidence, but that there is likely no dynamic programming algorithm of the usual style for $\beta$-acyclic $\mathrm{\#SAT}$.

Connected through hyperedge HE-1 (induced by source paper "approximate counting csp seen from the other side"):
  with members:
    - "constraint solving via fractional edge covers"
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"
    - "approximately counting h colourings is bis hard"
    - "the complexity of approximating conservative counting csps"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "complexity of counting csp with complex weights"
    - "an effective dichotomy for the counting constraint satisfaction problem"

Connected through hyperedge HE-2 (induced by source paper "point width and max csps"):
  with members:
    - "understanding the complexity of sat using knowledge compilation"
    - "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"
    - "tractable optimization problems through hypergraph based structural restrictions"

Connected through hyperedge HE-3 (induced by source paper "graph width measures for cnf encodings with auxiliary variables"):
  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-4 (induced by source paper "on symbolic approaches for computing the matrix permanent"):
  with members:
    - "addmc exact weighted model counting with algebraic decision diagrams"
    - "incremental cardinality constraints for maxsat"
    - "exponential time complexity of the permanent and the tutte polynomial"
    - "a new direction for counting perfect matchings"
    - "counting based search branching heuristics for constraint satisfaction problems"

Connected through hyperedge HE-5 (induced by source paper "regular resolution for cnf of bounded incidence treewidth with few long clauses"):
  with members:
    - "understanding the complexity of sat using knowledge compilation"
    - "narrow proofs may be maximally long"
    - "on the read once property of branching programs and cnfs of bounded treewidth"

Connected through hyperedge HE-6 (induced by source paper "knowledge compilation width and quantification"):
  with members:
    - "exploiting treewidth for projected model counting and its limits"
    - "circuit treewidth sentential decision and query compilation"
    - "solving maxsat and sat on structured cnf formulas"

Connected through hyperedge HE-7 (induced by source paper "counting minimal transversals of beta acyclic hypergraphs"):
  with members:
    - "understanding the complexity of sat using knowledge compilation"
    - "on the enumeration of minimal dominating sets and related notions"
    - "the monadic second order logic of graphs xvi canonical graph decompositions"

Connected through hyperedge HE-8 (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"
    - "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"
    - "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)