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: "practical and efficient split decomposition via graph labelled trees"
  Abstract: Split decomposition of graphs was introduced by Cunningham (under the name join decomposition) as a generalization of the modular decomposition. This paper undertakes an investigation into the algorithmic properties of split decomposition. We do so in the context of graph-labelled trees (GLTs), a new combinatorial object designed to simplify its consideration. GLTs are used to derive an incremental characterization of split decomposition, with a simple combinatorial description, and to explore its properties with respect to Lexicographic Breadth-First Search (LBFS). Applying the incremental characterization to an LBFS ordering results in a split decomposition algorithm that runs in time $O(n+m)\alpha(n+m)$, where $\alpha$ is the inverse Ackermann function, whose value is smaller than 4 for any practical graph. Compared to Dahlhaus' linear-time split decomposition algorithm [Dahlhaus'00], which does not rely on an incremental construction, our algorithm is just as fast in all but the asymptotic sense and full implementation details are given in this paper. Also, our algorithm extends to circle graph recognition, whereas no such extension is known for Dahlhaus' algorithm. The companion paper [Gioan et al.] uses our algorithm to derive the first sub-quadratic circle graph recognition algorithm.

Connected through hyperedge HE-1 (induced by source paper "circle graph isomorphism in almost linear time"):
  with members:
    - "testing isomorphism of circular arc graphs in polynomial time"
    - "the weisfeiler leman dimension of planar graphs is at most 3"
    - "deciding circular arc graph isomorphism in parameterized logspace"
    - "graph isomorphism restricted by lists"
    - "graph isomorphism in quasipolynomial time"
    - "completing orientations of partially oriented graphs"
    - "extending partial representations of interval graphs"
    - "extending partial representations of circle graphs"

Connected through hyperedge HE-2 (induced by source paper "solving problems on graphs of high rank width"):
  with members:
    - "meta kernelization using well structured modulators"
    - "on feedback vertex set new measure and new structures"
    - "chordal editing is fixed parameter tractable"
    - "kernelization using structural parameters on sparse graph classes"
    - "meta kernelization with structural parameters"
    - "backdoors to satisfaction"
    - "kernel bounds for path and cycle problems"
    - "linear time split decomposition revisited"

Connected through hyperedge HE-3 (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"
    - "linear time algorithms for graphs of bounded rankwidth a fresh look using game theory"
    - "linear time split decomposition revisited"
    - "linear time algorithms for finding a dominating set of fixed size in degenerated graphs"

Connected through hyperedge HE-4 (induced by source paper "practical and efficient circle graph recognition"):
  with members:
    - "split decomposition and graph labelled trees characterizations and fully dynamic algorithms for totally decomposable graphs"
    - "the monadic second order logic of graphs xvi canonical graph decompositions"
    - "extending the theory of owicki and gries with a logic of progress"

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)