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: "experimental analysis of the accessibility of drawings with few segments"
  Abstract: The visual complexity of a graph drawing is defined as the number of geometric objects needed to represent all its edges. In particular, one object may represent multiple edges, e.g., one needs only one line segment to draw two collinear incident edges. We study the question if drawings with few segments have a better aesthetic appeal and help the user to asses the underlying graph. We design an experiment that investigates two different graph types (trees and sparse graphs), three different layout algorithms for trees, and two different layout algorithms for sparse graphs. We asked the users to give an aesthetic ranking on the layouts and to perform a furthest-pair or shortest-path task on the drawings.

Connected through hyperedge HE-1 (induced by source paper "drawing planar graphs with few segments on a polynomial grid"):
  with members:
    - "drawing planar graphs with few geometric primitives"
    - "drawing graphs on few circles and few spheres"
    - "optimal monotone drawings of trees"
    - "the complexity of drawing graphs on few lines and few planes"
    - "strongly monotone drawings of planar graphs"
    - "drawing graphs on few lines and few planes"
    - "on monotone drawings of trees"
    - "on self approaching and increasing chord drawings of 3 connected planar graphs"

Connected through hyperedge HE-2 (induced by source paper "level planar drawings with few slopes"):
  with members:
    - "drawing k linear metro maps"
    - "simultaneous orthogonal planarity"
    - "beyond level planarity"
    - "outerplanar graph drawings with few slopes"
    - "simultaneous embedding of planar graphs"
    - "multiple source multiple sink maximum flow in directed planar graphs in near linear time"
    - "shortest paths in planar graphs with real lengths in o n log 2n log log n time"

Connected through hyperedge HE-3 (induced by source paper "line and plane cover numbers revisited"):
  with members:
    - "cubic planar graphs that cannot be drawn on few lines"
    - "planar graphs have bounded queue number"
    - "drawing planar graphs with few geometric primitives"
    - "the complexity of drawing graphs on few lines and few planes"
    - "drawing graphs on few lines and few planes"

Connected through hyperedge HE-4 (induced by source paper "exploring the limits of complexity a survey of empirical studies on graph visualisation"):
  with members:
    - "what would a graph look like in this layout a machine learning approach to large graph visualization"
    - "many to many geographically embedded flow visualisation an evaluation"
    - "visual similarity perception of directed acyclic graphs a study on influencing factors"
    - "evaluation of two interaction techniques for visualization of dynamic graphs"
    - "on the readability of boundary labeling"
    - "node node link and node link group diagrams an evaluation"
    - "a coloring algorithm for disambiguating graph and map drawings"

Connected through hyperedge HE-5 (induced by source paper "drawing planar graphs with few geometric primitives"):
  with members:
    - "drawing graphs on few circles and few spheres"
    - "the complexity of drawing graphs on few lines and few planes"
    - "drawing graphs on few lines and few planes"

Connected through hyperedge HE-6 (induced by source paper "drawing graphs on few circles and few spheres"):
  with members:
    - "drawing planar graphs with few geometric primitives"
    - "the complexity of drawing graphs on few lines and few planes"
    - "drawing graphs on few lines and few planes"

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)