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: "embedding graphs into embedded graphs"
  Abstract: A drawing of a graph $G$ in the plane is weakly simple if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a straight-line drawing of a planar graph $G$ in the plane is weakly simple, can be carried out in polynomial time, if a desired embedding of $G$ belongs to a fixed isotopy class. In other words, we show that c-planarity with pipes is tractable for graphs with fixed embeddings. To the best of our knowledge an analogous result was previously known essentially only when $G$ is a cycle.

Connected through hyperedge HE-1 (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"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"

Connected through hyperedge HE-2 (induced by source paper "hanani tutte for approximating maps of graphs"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "bounded embeddings of graphs in the plane"
    - "clustered planarity with pipes"
    - "detecting weakly simple polygons"
    - "powers of tensors and fast matrix multiplication"
    - "toward the hanani tutte theorem for clustered graphs"
    - "clustered planarity testing revisited"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-3 (induced by source paper "recognizing weak embeddings of graphs"):
  with members:
    - "clustered planarity flat clustered planarity"
    - "hanani tutte for approximating maps of graphs"
    - "clustered planarity with pipes"
    - "recognizing weakly simple polygons"
    - "detecting weakly simple polygons"
    - "strip planarity testing of embedded planar graphs"

Connected through hyperedge HE-4 (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"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "recognizing weakly simple polygons"):
  with members:
    - "hanani tutte for approximating maps of graphs"
    - "detecting weakly simple polygons"
    - "flat foldings of plane graphs with prescribed angles and edge lengths"
    - "when can you fold a map"

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.CG(Computational Geometry)