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: "computational geometry column 67"
  Abstract: In the limited workspace model, we consider algorithms whose input resides in read-only memory and that use only a constant or sublinear amount of writable memory to accomplish their task. We survey recent results in computational geometry that fall into this model and that strive to achieve the lowest possible running time. In addition to discussing the state of the art, we give some illustrative examples and mention open problems for further research.

Connected through hyperedge HE-1 (induced by source paper "common tangents of two disjoint polygons in linear time and constant workspace"):
  with members:
    - "minimum perimeter sum partitions in the plane"
    - "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"
    - "space time trade offs for stack based algorithms"

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:
    - "experimental study of compressed stack algorithms in limited memory environments"
    - "shortest path in a polygon using sublinear space"
    - "memory constrained algorithms for simple polygons"

Connected through hyperedge HE-3 (induced by source paper "a time space trade off for computing the geodesic center of a simple polygon"):
  with members:
    - "a new balanced subdivision of a simple polygon for time space trade off algorithms"
    - "a linear time algorithm for the geodesic center of a simple polygon"
    - "shortest path in a polygon using sublinear space"

Connected through hyperedge HE-4 (induced by source paper "a new balanced subdivision of a simple polygon for time space trade off algorithms"):
  with members:
    - "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"
    - "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)