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: "bounded embeddings of graphs in the plane"
  Abstract: A drawing in the plane ($\mathbb{R}^2$) of a graph $G=(V,E)$ equipped with a function $\gamma: V \rightarrow \mathbb{N}$ is \emph{$x$-bounded} if (i) $x(u) <x(v)$ whenever $\gamma(u)<\gamma(v)$ and (ii) $\gamma(u)\leq\gamma(w)\leq \gamma(v)$, where $uv\in E$ and $\gamma(u)\leq \gamma(v)$, whenever $x(w)\in x(uv)$, where $x(.)$ denotes the projection to the $x$-axis. We prove a characterization of isotopy classes of graph embeddings in the plane containing an $x$-bounded embedding. Then we present an efficient algorithm, that relies on our result, for testing the existence of an $x$-bounded embedding if the given graph is a tree or generalized $\Theta$-graph. This partially answers a question raised recently by Angelini et al. and Chang et al., and proves that c-planarity testing of flat clustered graphs with three clusters is tractable if each connected component of the underlying abstract graph is a tree.

Connected through hyperedge HE-1 (induced by source paper "hanani tutte for approximating maps of graphs"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "clustered planarity with pipes"
    - "embedding graphs into embedded graphs"
    - "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-2 (induced by source paper "hanani tutte for radial planarity ii"):
  with members:
    - "beyond level planarity"
    - "toward the hanani tutte theorem for clustered graphs"
    - "clustered planarity testing revisited"
    - "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.CG(Computational Geometry)