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: "advances on testing c planarity of embedded flat clustered graphs"
  Abstract: We show a polynomial-time algorithm for testing c-planarity of embedded flat clustered graphs with at most two vertices per cluster on each face.

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 "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-3 (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"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "clustered planarity testing revisited"
    - "relaxing the constraints of clustered planarity"

Connected through hyperedge HE-4 (induced by source paper "windrose planarity embedding graphs with direction constrained edges"):
  with members:
    - "ordered level planarity geodesic planarity and bi monotonicity"
    - "bitonic st orderings for upward planar graphs"
    - "relaxing the constraints of clustered planarity"
    - "multiple source multiple sink maximum flow in directed planar graphs in near linear time"

Connected through hyperedge HE-5 (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"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "detecting weakly simple polygons"
    - "beyond level planarity"
    - "powers of tensors and fast matrix multiplication"
    - "toward the hanani tutte theorem for clustered graphs"

Connected through hyperedge HE-6 (induced by source paper "computing nodetrix representations of clustered graphs"):
  with members:
    - "intersection link representations of graphs"
    - "advancements on sefe and partitioned book embedding problems"
    - "relaxing the constraints of clustered planarity"

Connected through hyperedge HE-7 (induced by source paper "a new perspective on clustered planarity as a combinatorial embedding problem"):
  with members:
    - "simultaneous pq ordering with applications to constrained 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)