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: "linear time algorithms for graphs of bounded rankwidth a fresh look using game theory"
  Abstract: We present an alternative proof of a theorem by Courcelle, Makowski and Rotics which states that problems expressible in MSO are solvable in linear time for graphs of bounded rankwidth. Our proof uses a game-theoretic approach and has the advantage of being self-contained, intuitive, and fairly easy to follow. In particular, our presentation does not assume any background in logic or automata theory. We believe that it is good to have alternative proofs of this important result. Moreover our approach can be generalized to prove other results of a similar flavor, for example, that of Courcelle's Theorem for treewidth.

Connected through hyperedge HE-1 (induced by source paper "kernelizing mso properties of trees of fixed height and some consequences"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "using neighborhood diversity to solve hard problems"
    - "courcelle s theorem a game theoretic approach"
    - "algorithmic meta theorems"

Connected through hyperedge HE-2 (induced by source paper "on complexities of minus domination"):
  with members:
    - "signed and minus domination in complete multipartite graphs"
    - "kernels for connected dominating set on graphs with excluded topological subgraphs"
    - "practical and efficient split decomposition via graph labelled trees"
    - "linear time split decomposition revisited"
    - "linear time algorithms for finding a dominating set of fixed size in degenerated graphs"

Connected through hyperedge HE-3 (induced by source paper "confronting intractability via parameters"):
  with members:
    - "slightly superexponential parameterized problems"
    - "bidimensionality and kernels"
    - "how good is the chord algorithm"
    - "minimizing movement fixed parameter tractability"
    - "dynamic programming for graphs on surfaces"
    - "courcelle s theorem a game theoretic approach"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"

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)