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: "voronoi diagrams for a moderate sized point set in a simple polygon"
  Abstract: Given a set of sites in a simple polygon, a geodesic Voronoi diagram of the sites partitions the polygon into regions based on distances to sites under the geodesic metric. We present algorithms for computing the geodesic nearest-point, higher-order and farthest-point Voronoi diagrams of m point sites in a simple n-gon, which improve the best known ones for m <= n/ polylog n. Moreover, the algorithms for the geodesic nearest-point and farthest-point Voronoi diagrams are optimal for m <= n/ polylog n. This partially answers a question posed by Mitchell in the Handbook of Computational Geometry.

Connected through hyperedge HE-1 (induced by source paper "kinetic geodesic voronoi diagrams in a simple polygon"):
  with members:
    - "computing a geodesic two center of points in a simple polygon"
    - "visibility graphs dismantlability and the cops and robbers game"
    - "kinetic voronoi diagrams and delaunay triangulations under polygonal distance functions"
    - "on kinetic delaunay triangulations a near quadratic bound for unit speed motions"

Connected through hyperedge HE-2 (induced by source paper "geodesic farthest point voronoi diagram in linear time"):
  with members:
    - "computing a geodesic two center of points in a simple polygon"
    - "detecting weakly simple polygons"
    - "a linear time algorithm for the geodesic center of a simple polygon"

Connected through hyperedge HE-3 (induced by source paper "the geodesic farthest point voronoi diagram in a simple polygon"):
  with members:
    - "a linear time algorithm for the geodesic center of a simple polygon"

Connected through hyperedge HE-4 (induced by source paper "dynamic geodesic nearest neighbor searching in a simple polygon"):
  with members:
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"

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)