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: "on obdds for cnfs of bounded treewidth"
  Abstract: In this paper we show that a CNF cannot be compiled into an Ordered Binary Decision Diagram (OBDD) of fixed-parameter size parameterized by the primal graph treewidth of the CNF. Thus we provide a parameterized separation between OBDDs and Sentential Decision Diagrams (SDDs) for which such fixed-parameter compilation is possible. In fact, we demonstrate that the proposed lower bound also yields a classical (non-parameterized) separation of OBDDs and SDDs. We also show that the best existing parameterized upper bound for OBDDs in fact holds for incidence graph treewidth parameterization.

Connected through hyperedge HE-1 (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"
    - "understanding the complexity of sat using 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"

Connected through hyperedge HE-2 (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"
    - "model counting for formulas of bounded clique width"
    - "lower bounds for exact model counting and applications in probabilistic databases"
    - "satisfiability of acyclic and almost acyclic cnf formulas"

Connected through hyperedge HE-3 (induced by source paper "circuit treewidth sentential decision and query compilation"):
  with members:
    - "tractable lineages on treelike instances limits and extensions"
    - "parameterized compilation lower bounds for restricted cnf formulas"
    - "sdds are exponentially more succinct than obdds"
    - "new limits for knowledge compilation and applications to exact model counting"
    - "on the read once property of branching programs and cnfs of bounded treewidth"
    - "cliquewidth and knowledge compilation"
    - "the dichotomy of conjunctive queries on probabilistic structures"
    - "a knowledge compilation map"

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"
    - "model counting for formulas of bounded clique width"
    - "lower bounds for exact model counting and applications in probabilistic databases"

Connected through hyperedge HE-5 (induced by source paper "parameterized compilation lower bounds for restricted cnf formulas"):
  with members:
    - "complexity and approximability of parameterized max csps"
    - "understanding model counting for beta acyclic cnf formulas"
    - "no small nondeterministic read once branching programs for cnfs of bounded treewidth"
    - "between treewidth and clique width"
    - "satisfiability of acyclic and almost acyclic cnf formulas"
    - "a knowledge compilation map"

Connected through hyperedge HE-6 (induced by source paper "sdds are exponentially more succinct than obdds"):
  with members:
    - "cliquewidth and knowledge compilation"
    - "a knowledge compilation map"

Connected through hyperedge HE-7 (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"
    - "expander cnfs have exponential dnnf size"

Connected through hyperedge HE-8 (induced by source paper "new limits for knowledge compilation and applications to exact model counting"):
  with members:
    - "on the read once property of branching programs and cnfs of bounded treewidth"
    - "lower bounds for exact model counting and applications in probabilistic databases"
    - "the language of search"

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.LO(Logic in Computer Science)