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: "shortest path in a polygon using sublinear space"
  Abstract: $\renewcommand{\Re}{{\rm I\!\hspace{-0.025em} R}} \newcommand{\SetX}{\mathsf{X}} \newcommand{\VorX}[1]{\mathcal{V} \pth{#1}} \newcommand{\Polygon}{\mathsf{P}} \newcommand{\Space}{\overline{\mathsf{m}}} \newcommand{\pth}[2][\!]{#1\left({#2}\right)}$ We resolve an open problem due to Tetsuo Asano, showing how to compute the shortest path in a polygon, given in a read only memory, using sublinear space and subquadratic time. Specifically, given a simple polygon $\Polygon$ with $n$ vertices in a read only memory, and additional working memory of size $\Space$, the new algorithm computes the shortest path (in $\Polygon$) in $O( n^2 /\, \Space )$ expected time. This requires several new tools, which we believe to be of independent interest.

Connected through hyperedge HE-1 (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"
    - "memory constrained algorithms for simple polygons"

Connected through hyperedge HE-2 (induced by source paper "a time space trade off for computing the geodesic center of a simple polygon"):
  with members:
    - "computational geometry column 67"
    - "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"

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:
    - "memory constrained algorithms for simple polygons"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-5 (induced by source paper "approximation schemes for independent set and sparse subsets of polygons"):
  with members:
    - "on approximating maximum independent set of rectangles"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "approximation schemes for partitioning convex decomposition and surface approximation"
    - "a qptas for the base of the number of triangulations of a planar point set"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "a qptas for maximum weight independent set of polygons with polylogarithmically many vertices"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"

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"
    - "memory constrained algorithms for simple polygons"
    - "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"
    - "memory constrained algorithms for simple polygons"
    - "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:
    - "memory constrained algorithms for simple polygons"
    - "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)