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: "coalition structure generation over graphs"
  Abstract: We give the analysis of the computational complexity of coalition structure generation over graphs. Given an undirected graph

Connected through hyperedge HE-1 (induced by source paper "stable outcomes in modified fractional hedonic games"):
  with members:
    - "strategyproof mechanisms for additively separable hedonic games and fractional hedonic games"
    - "fractional hedonic games"
    - "mechanism design for team formation"
    - "simple causes of complexity in hedonic games"
    - "complexity of coalition structure generation"
    - "an anytime algorithm for optimal coalition structure generation"

Connected through hyperedge HE-2 (induced by source paper "cooperative games with bounded dependency degree"):
  with members:
    - "simple mechanisms for agents with complements"
    - "building a good team secretary problems and the supermodular degree"
    - "a unifying hierarchy of valuations with complements and substitutes"
    - "on the complexity of core kernel and bargaining set"

Connected through hyperedge HE-3 (induced by source paper "a realistic dataset for the smart home device scheduling problem for dcops"):
  with members:
    - "distributed constraint optimization problems and applications a survey"
    - "bnb adopt an asynchronous branch and bound dcop algorithm"
    - "asynchronous forward bounding for distributed cops"

Connected through hyperedge HE-4 (induced by source paper "algorithms for graph constrained coalition formation in the real world"):
  with members:
    - "an anytime algorithm for optimal coalition structure generation"

Connected through hyperedge HE-5 (induced by source paper "analysis and optimization of graph decompositions by lifted multicuts"):
  with members:
    - "efficient decomposition of image and mesh graphs by lifted multicuts"
    - "objective criteria for the evaluation of clustering methods"

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.DS(Data Structures and Algorithms)