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: "time space trade offs for triangulations and voronoi diagrams"
  Abstract: Abstract   Let  S  be a planar  n -point set. A  triangulation  for  S  is a maximal plane straight-line graph with vertex set  S . The  Voronoi diagram  for  S  is the subdivision of the plane into cells such that all points in a cell have the same nearest neighbor in  S . Classically, both structures can be computed in    O  (  n  log  ⁡  n  )    time and    O  (  n  )    space. We study the situation when the available workspace is limited: given a parameter    s  ∈  {  1  ,  …  ,  n  }   , an  s -workspace algorithm has read-only access to an input array with the points from  S  in arbitrary order, and it may use only    O  (  s  )    additional words of    Θ  (  log  ⁡  n  )    bits for reading and writing intermediate data. The output should then be written to a write-only structure. We describe a deterministic  s -workspace algorithm for computing an arbitrary triangulation of  S  in time    O  (    n    2    /  s  +  n  log  ⁡  n  log  ⁡  s  )    and a randomized  s -workspace algorithm for finding the Voronoi diagram of  S  in expected time    O  (  (    n    2    /  s  )  log  ⁡  s  +  n  log  ⁡  s    log    ⁎    ⁡  s  )   .

Connected through hyperedge HE-1 (induced by source paper "computational geometry column 67"):
  with members:
    - "common tangents of two disjoint polygons in linear time and constant workspace"
    - "time space trade off for finding the k visibility region of a point in a polygon"
    - "an experimental study of algorithms for geodesic shortest paths in the constant workspace model"
    - "improved time space trade offs for computing voronoi diagrams"
    - "ime space trade offs for computing euclidean minimum spanning trees"
    - "experimental study of compressed stack algorithms in limited memory environments"
    - "outer common tangents and nesting of convex hulls in linear time and constant workspace"
    - "an optimal algorithm for the separating common tangents of two polygons"

Connected through hyperedge HE-2 (induced by source paper "a new balanced subdivision of a simple polygon for time space trade off algorithms"):
  with members:
    - "computational geometry column 67"
    - "ime space trade offs for computing euclidean minimum spanning trees"
    - "time space trade offs for triangulating a simple polygon"
    - "shortest path in a polygon using sublinear space"
    - "memory constrained algorithms for simple polygons"
    - "space time trade offs for stack based algorithms"

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)