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: "exploiting treewidth for projected model counting and its limits"
  Abstract: In this paper, we introduce a novel algorithm to solve projected model counting (PMC). PMC asks to count solutions of a Boolean formula with respect to a given set of projected variables, where multiple solutions that are identical when restricted to the projected variables count as only one solution. Our algorithm exploits small treewidth of the primal graph of the input instance. It runs in time $O({2^{2^{k+4}} n^2})$ where k is the treewidth and n is the input size of the instance. In other words, we obtain that the problem PMC is fixed-parameter tractable when parameterized by treewidth. Further, we take the exponential time hypothesis (ETH) into consideration and establish lower bounds of bounded treewidth algorithms for PMC, yielding asymptotically tight runtime bounds of our algorithm.

Connected through hyperedge HE-1 (induced by source paper "exploiting database management systems and treewidth for counting"):
  with members:
    - "experimental evaluation of parameterized algorithms for feedback vertex set"
    - "practical access to dynamic programming on tree decompositions"
    - "implementing efficient all solutions sat solvers"
    - "distribution aware sampling and weighted model counting for sat"
    - "uniform solution sampling using a constraint solver as an oracle"
    - "probabilistic planning via heuristic forward search and weighted model counting"

Connected through hyperedge HE-2 (induced by source paper "answer set solving exploiting treewidth and its limits"):
  with members:
    - "asp core 2 input language format"
    - "te eth lower bounds for qbfs of bounded treewidth"
    - "counting complexity for reasoning in abstract argumentation"
    - "slightly superexponential parameterized problems"
    - "dynasp2 5 dynamic programming on tree decompositions in action"
    - "answer set solving with bounded treewidth revisited"
    - "default logic and bounded treewidth"

Connected through hyperedge HE-3 (induced by source paper "te eth lower bounds for qbfs of bounded treewidth"):
  with members:
    - "treewidth and counting projected answer sets"
    - "counting complexity for reasoning in abstract argumentation"
    - "qbf as an alternative to courcelle s theorem"
    - "evaluating qbf solvers quantifier alternations matter"
    - "slightly superexponential parameterized problems"
    - "parameterized complexity results for exact bayesian network structure learning"
    - "backdoors to tractable answer set programming"

Connected through hyperedge HE-4 (induced by source paper "treewidth and counting projected answer sets"):
  with members:
    - "te eth lower bounds for qbfs of bounded treewidth"
    - "slightly superexponential parameterized problems"
    - "answer set solving with bounded treewidth revisited"
    - "tractable answer set programming with weight constraints bounded treewidth is not enough"
    - "even faster integer multiplication"

Connected through hyperedge HE-5 (induced by source paper "knowledge compilation width and quantification"):
  with members:
    - "circuit treewidth sentential decision and query compilation"
    - "solving maxsat and sat on structured cnf formulas"
    - "understanding model counting for beta 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.AI(Artificial Intelligence)