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: "testing bipartiteness of geometric intersection graphs"
  Abstract: We show how to test the bipartiteness of an intersection graph of n line segments or simple polygons in the plane, or of an intersection graph of balls in d-dimensional Euclidean space, in time O(n log n). More generally, we find subquadratic algorithms for connectivity and bipartiteness testing of intersection graphs of a broad class of geometric objects. Our algorithms for these problems return either a bipartition of the input or an odd cycle in its intersection graph. We also consider lower bounds for connectivity and k-colorability problems of geometric intersection graphs. For unit balls in d dimensions, connectivity testing has equivalent randomized complexity to construction of Euclidean minimum spanning trees, and for line segments in the plane connectivity testing has the same lower bounds as Hopcroft's point-line incidence testing problem; therefore, for these problems, connectivity is unlikely to be solved as efficiently as bipartiteness. For line segments or planar disks, testing k-colorability of intersection graphs for k > 2 is NP-complete.

Connected through hyperedge HE-1 (induced by source paper "geometric biplane graphs i maximal graphs"):
  with members:
    - "geometric biplane graphs ii graph augmentation"
    - "counting plane graphs flippability and its applications"
    - "counting triangulations of planar point sets"

Connected through hyperedge HE-2 (induced by source paper "graph theoretic solutions to computational geometry problems"):
  with members:
    - "orientation constrained rectangular layouts"
    - "optimal angular resolution for face symmetric drawings"
    - "area universal rectangular layouts"
    - "optimal embedding into star metrics"
    - "trees with convex faces and optimal angles"
    - "algorithms for drawing media"
    - "the traveling salesman problem for cubic graphs"

Connected through hyperedge HE-3 (induced by source paper "dynamic connectivity connecting to networks and geometry"):
  with members:
    - "logarithmic lower bounds in the cell probe model"

Connected through hyperedge HE-4 (induced by source paper "choosing colors for geometric graphs via color space embeddings"):
  with members:
    - "algorithms for coloring quadtrees"

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)