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: "a new perspective on clustered planarity as a combinatorial embedding problem"
  Abstract: The clustered planarity problem (c-planarity) asks whether a hierarchically clustered graph admits a planar drawing such that the clusters can be nicely represented by regions. We introduce the cd-tree data structure and give a new characterization of c-planarity. It leads to efficient algorithms for c-planarity testing in the following cases. (i) Every cluster and every co-cluster (complement of a cluster) has at most two connected components. (ii) Every cluster has at most five outgoing edges. #R##N#Moreover, the cd-tree reveals interesting connections between c-planarity and planarity with constraints on the order of edges around vertices. On one hand, this gives rise to a bunch of new open problems related to c-planarity, on the other hand it provides a new perspective on previous results.

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"
    - "subexponential time and fpt algorithms for embedded 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"

Connected through hyperedge HE-2 (induced by source paper "graph planarity testing with hierarchical embedding constraints"):
  with members:
    - "intersection link representations of graphs"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-3 (induced by source paper "clustered planarity flat clustered planarity"):
  with members:
    - "subexponential time and fpt algorithms for embedded flat clustered planarity"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "subexponential time and fpt algorithms for embedded flat clustered planarity"):
  with members:
    - "crossing minimization for 1 page and 2 page drawings of graphs with bounded treewidth"
    - "embedded width a variant of treewidth for plane graphs"
    - "recognizing weak embeddings of graphs"
    - "c planarity of embedded cyclic c graphs"
    - "clustered planarity with pipes"
    - "advances on testing c planarity of embedded flat clustered graphs"
    - "clustered planarity testing revisited"
    - "relaxing the constraints of clustered planarity"

Connected through hyperedge HE-5 (induced by source paper "drawing clustered graphs on disk arrangements"):
  with members:
    - "the art gallery problem is exists mathbb r complete"
    - "recognizing weak embeddings of graphs"

Connected through hyperedge HE-6 (induced by source paper "clustered planarity with pipes"):
  with members:
    - "subexponential time and fpt algorithms for embedded flat clustered planarity"
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "c planarity of embedded cyclic c graphs"
    - "embedding graphs into embedded graphs"
    - "detecting weakly simple polygons"
    - "toward the hanani tutte theorem for clustered graphs"
    - "advancements on sefe and partitioned book embedding problems"

Connected through hyperedge HE-7 (induced by source paper "c planarity of embedded cyclic c graphs"):
  with members:
    - "clustered planarity with pipes"
    - "recognizing weakly simple polygons"
    - "testing cyclic level and simultaneous level planarity"
    - "detecting weakly simple polygons"
    - "beyond level planarity"
    - "powers of tensors and fast matrix multiplication"
    - "advances on testing c planarity of embedded flat clustered graphs"
    - "toward the hanani tutte theorem for clustered graphs"

Connected through hyperedge HE-8 (induced by source paper "c planarity of overlapping clusterings including unions of two partitions"):
  with members:
    - "twins in subdivision drawings of hypergraphs"
    - "simultaneous embeddability of two partitions"
    - "relaxing the constraints of clustered planarity"

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)