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: "subexponential time and fpt algorithms for embedded flat clustered planarity"
  Abstract: The C-Planarity problem asks for a drawing of a $\textit{clustered graph}$, i.e., a graph whose vertices belong to properly nested clusters, in which each cluster is represented by a simple closed region with no edge-edge crossings, no region-region crossings, and no unnecessary edge-region crossings. We study C-Planarity for $\textit{embedded flat clustered graphs}$, graphs with a fixed combinatorial embedding whose clusters partition the vertex set. Our main result is a subexponential-time algorithm to test C-Planarity for these graphs when their face size is bounded. Furthermore, we consider a variation of the notion of $\textit{embedded tree decomposition}$ in which, for each face, including the outer face, there is a bag that contains every vertex of the face. We show that C-Planarity is fixed-parameter tractable with the embedded-width of the underlying graph and the number of disconnected clusters as parameters.

Connected through hyperedge HE-1 (induced by source paper "c planarity testing of embedded clustered graphs with bounded dual carving width"):
  with members:
    - "atomic embeddability clustered planarity and thickenability"
    - "clustered planarity flat clustered planarity"
    - "embedded width a variant of treewidth for plane graphs"
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "clustered planarity with pipes"
    - "computing nodetrix representations of clustered graphs"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"

Connected through hyperedge HE-2 (induced by source paper "clustered planarity flat clustered planarity"):
  with members:
    - "nodetrix planarity testing with small clusters"
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "c planarity of embedded cyclic c graphs"
    - "clustered planarity with pipes"
    - "computing nodetrix representations of clustered graphs"
    - "embedding graphs into embedded graphs"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"

Connected through hyperedge HE-3 (induced by source paper "clustered planarity with pipes"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "c planarity of embedded cyclic c graphs"
    - "embedding graphs into embedded graphs"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "detecting weakly simple polygons"
    - "toward the hanani tutte theorem for clustered graphs"
    - "advancements on sefe and partitioned book embedding problems"

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)