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: "memory constrained algorithms for simple polygons"
  Abstract: Abstract   A constant-work-space algorithm has read-only access to an input array and may use only    O  (  1  )    additional words of    O  (  log    n  )    bits, where  n  is the input size. We show how to triangulate a plane straight-line graph with  n  vertices in    O  (    n    2    )    time and constant work-space. We also consider the problem of preprocessing a simple polygon  P  for shortest path queries, where  P  is given by the ordered sequence of its  n  vertices. For this, we relax the space constraint to allow  s  words of work-space. After quadratic preprocessing, the shortest path between any two points inside  P  can be found in    O  (    n    2    /  s  )    time.

Connected through hyperedge HE-1 (induced by source paper "time space trade off for finding the k visibility region of a point in a polygon"):
  with members:
    - "modem illumination of monotone polygons"
    - "space time trade offs for stack based algorithms"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-2 (induced by source paper "an experimental study of algorithms for geodesic shortest paths in the constant workspace model"):
  with members:
    - "computational geometry column 67"
    - "experimental study of compressed stack algorithms in limited memory environments"
    - "shortest path in a polygon using sublinear space"

Connected through hyperedge HE-3 (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"
    - "time space trade offs for triangulations and voronoi diagrams"
    - "experimental study of compressed stack algorithms in limited memory environments"
    - "outer common tangents and nesting of convex hulls in linear time and constant workspace"

Connected through hyperedge HE-4 (induced by source paper "improved time space trade offs for computing voronoi diagrams"):
  with members:
    - "shortest path in a polygon using sublinear space"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-5 (induced by source paper "a new optimal algorithm for computing the visibility area of a simple polygon from a viewpoint"):
  with members:
    - "space efficient algorithms for visibility problems in simple polygon"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-6 (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 triangulations and voronoi diagrams"
    - "time space trade offs for triangulating a simple polygon"
    - "shortest path in a polygon using sublinear space"
    - "space time trade offs for stack based algorithms"

Connected through hyperedge HE-7 (induced by source paper "ime space trade offs for computing euclidean minimum spanning trees"):
  with members:
    - "improved time space trade offs for computing voronoi diagrams"
    - "shortest path in a polygon using sublinear space"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-8 (induced by source paper "time space trade offs for triangulations and voronoi diagrams"):
  with members:
    - "shortest path in a polygon using sublinear space"
    - "space time trade offs for stack based algorithms"
    - "computing a visibility polygon using few variables"

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)