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: "a super polynomial lower bound for the parity game strategy improvement algorithm as we know it"
  Abstract: This paper presents a new lower bound for the discrete strategy improvement algorithm for solving parity games due to Voege and Jurdziski. First, we informally show which structures are difficult to solve for the algorithm. Second, we outline a family of games of quadratic size on which the algorithm requires exponentially many strategy iterations, answering in the negative the long-standing question whether this algorithm runs in polynomial time. Additionally we note that the same family of games can be used to prove a similar result w.r.t. the strategy improvement variant by Schewe.

Connected through hyperedge HE-1 (induced by source paper "benchmarks for parity games extended version"):
  with members:
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "gist a solver for probabilistic games"

Connected through hyperedge HE-2 (induced by source paper "benchmarks for parity games"):
  with members:
    - "benchmarks for parity games extended version"
    - "zielonka s recursive algorithm dull weak and solitaire games and tighter bounds"
    - "a complete anytime algorithm for treewidth"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "gist a solver for probabilistic games"

Connected through hyperedge HE-3 (induced by source paper "the simplex method is strongly polynomial for deterministic markov decision processes"):
  with members:
    - "on the complexity of solving markov decision problems"
    - "on the complexity of policy iteration"
    - "strategy iteration is strongly polynomial for 2 player turn based stochastic games with a constant discount factor"
    - "exponential lower bounds for policy iteration"

Connected through hyperedge HE-4 (induced by source paper "non oblivious strategy improvement"):
  with members:
    - "on the complexity of policy iteration"

Connected through hyperedge HE-5 (induced by source paper "exponential lower bounds for policy iteration"):
  with members:
    - "on the complexity of policy iteration"

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.GT(Computer Science and Game Theory)