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: "the surprizing complexity of generalized reachability games"
  Abstract: Games on graphs provide a natural and powerful model for reactive systems. In this paper, we consider generalized reachability objectives, defined as conjunctions of reachability objectives. We first prove that deciding the winner in such games is $\PSPACE$-complete, although it is fixed-parameter tractable with the number of reachability objectives as parameter. Moreover, we consider the memory requirements for both players and give matching upper and lower bounds on the size of winning strategies. In order to allow more efficient algorithms, we consider subclasses of generalized reachability games. We show that bounding the size of the reachability sets gives two natural subclasses where deciding the winner can be done efficiently.

Connected through hyperedge HE-1 (induced by source paper "finite state strategies in delay games"):
  with members:
    - "games with costs and delays"
    - "finite state strategies in delay games full version"
    - "how much lookahead is needed to win infinite games"
    - "an ordered approach to solving parity games in quasi polynomial time and quasi linear space"
    - "succinct progress measures for solving parity games"
    - "extending finite memory determinacy to multiplayer games"
    - "what are strategies in delay games borel determinacy for games with lookahead"
    - "delay games with wmso u winning conditions"

Connected through hyperedge HE-2 (induced by source paper "window parity games an alternative approach toward parity games with time bounds"):
  with members:
    - "easy to win hard to master optimal strategies in parity games with costs"
    - "looking at mean payoff and total payoff through windows"
    - "infinite state games with finitary conditions"
    - "automated synthesis of reliable and efficient systems through game theory a case study"
    - "parity and streett games with costs"
    - "strategy synthesis for multi dimensional quantitative objectives"

Connected through hyperedge HE-3 (induced by source paper "window parity games an alternative approach toward parity games with time bounds full version"):
  with members:
    - "easy to win hard to master optimal strategies in parity games with costs"
    - "window parity games an alternative approach toward parity games with time bounds"
    - "parity and streett games with costs"
    - "strategy synthesis for multi dimensional quantitative objectives"

Connected through hyperedge HE-4 (induced by source paper "looking at mean payoff and total payoff through windows"):
  with members:
    - "polynomial time algorithms for energy games with special weight structures"
    - "infinite state games with finitary conditions"
    - "meet your expectations with guarantees beyond worst case synthesis in quantitative games"
    - "synthesis from ltl specifications with mean payoff objectives"
    - "the complexity of multi mean payoff and multi energy games"
    - "strategy synthesis for multi dimensional quantitative objectives"
    - "an o n 2 time algorithm for alternating b uchi games"
    - "generalized mean payoff and energy games"

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)