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: "on the readability of boundary labeling"
  Abstract: Boundary labeling deals with annotating features in images such that labels are placed outside of the image and are connected by curves (so-called leaders) to the corresponding features. While boundary labeling has been extensively investigated from an algorithmic perspective, the research on its readability has been neglected. In this paper we present the first formal user study on the readability of boundary labeling. We consider the four most studied leader types with respect to their performance, i.e., whether and how fast a viewer can assign a feature to its label and vice versa. We give a detailed analysis of the results regarding the readability of the four models and discuss their aesthetic qualities based on the users' preference judgments and interviews.

Connected through hyperedge HE-1 (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"
    - "experimental analysis of the accessibility of drawings with few segments"
    - "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"
    - "node node link and node link group diagrams an evaluation"
    - "a coloring algorithm for disambiguating graph and map drawings"

Connected through hyperedge HE-2 (induced by source paper "planar drawings of fixed mobile bigraphs"):
  with members:
    - "multi sided boundary labeling"
    - "many to one boundary labeling with backbones"
    - "drawing graphs in the plane with a prescribed outer face and polynomial area"
    - "untangling a planar graph"
    - "planar drawings of higher genus graphs"

Connected through hyperedge HE-3 (induced by source paper "radial contour labeling with straight leaders"):
  with members:
    - "multi sided boundary labeling"

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)