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: "farthest polygon voronoi diagrams"
  Abstract: Given a family of k disjoint connected polygonal sites in general position and of total complexity n, we consider the farthest-site Voronoi diagram of these sites, where the distance to a site is the distance to a closest point on it. We show that the complexity of this diagram is O(n), and give an O(n log^3 n) time algorithm to compute it. We also prove a number of structural properties of this diagram. In particular, a Voronoi region may consist of k-1 connected components, but if one component is bounded, then it is equal to the entire region.

Connected through hyperedge HE-1 (induced by source paper "randomized incremental construction for the hausdorff voronoi diagram revisited and extended"):
  with members:
    - "a randomized incremental algorithm for the hausdorff voronoi diagram of non crossing clusters"

Connected through hyperedge HE-2 (induced by source paper "searching edges in the overlap of two plane graphs"):
  with members:
    - "randomized incremental construction for the hausdorff voronoi diagram revisited and extended"
    - "a randomized incremental algorithm for the hausdorff voronoi diagram of non crossing clusters"
    - "data structures for halfplane proximity queries and incremental voronoi diagrams"

Connected through hyperedge HE-3 (induced by source paper "an expected linear time algorithm for the farthest segment voronoi diagram"):
  with members:
    - "the higher order voronoi diagram of line segments"

Connected through hyperedge HE-4 (induced by source paper "linear time algorithms for the farthest segment voronoi diagram and related tree structures"):
  with members:
    - "the higher order voronoi diagram of line segments"

Connected through hyperedge HE-5 (induced by source paper "a randomized incremental algorithm for the hausdorff voronoi diagram of non crossing clusters"):
  with members:
    - "data structures for halfplane proximity queries and incremental voronoi diagrams"

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)