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: "convex arc drawings of pseudolines"
  Abstract: Introduction. A pseudoline is formed from a line by stretching the plane without tearing: it is the image of a line under a homeomorphism of the plane [13]. In arrangements of pseudolines, pairs of pseudolines intersect at most once and cross at their intersections. Pseudoline arrangements can be used to model sorting networks [1], tilings of convex polygons by rhombi [4], and graphs that have distance-preserving embeddings into hypercubes [6]. They are also closely related to oriented matroids [11]. We consider here the visualization of arrangements using well-shaped curves. Primarily, we study weak outerplanar pseudoline arrangements. An arrangement is weak if it does not necessarily have a crossing for every pair of pseudolines [12], and outerplanar if every crossing is part of an unbounded face of the arrangement. We show that these arrangements can be drawn with all curves convex, either as polygonal chains with at most two bends per pseudoline or as semicircles above a line. Arbitrary pseudolines can also be drawn as convex curves, but may require linearly many bends. Related Work. Several results related to the visualization of pseudoline arrangements are known. In wiring diagrams, pseudolines are drawn on parallel horizontal lines, with crossings on short line segments that connect pairs of horizontal lines [10]. The graphs of arrangements have drawings in small grids [8] and the dual graphs of weak arrangements have drawings in which each bounded face is centrally symmetric [5]. The pseudoline arrangements in which each pseudoline is a translated quadrant can be used to visualize learning spaces representing the states of a human learner [7]. Researchers in graph drawing have also studied force-directed methods for schematizing systems of curves representing metro maps by replacing each curve by a spline; these curves are not necessarily pseudolines, but they typically have few crossings [9]. Results. Below we state our results for outerplanar and arbitrary arrangements. Theorem 1. Every weak outerplanar pseudoline arrangement may be represented by

Connected through hyperedge HE-1 (induced by source paper "arrangements of approaching pseudo lines"):
  with members:
    - "from crossing free graphs on wheel sets to embracing simplices and polytopes with few vertices"
    - "drawing arrangement graphs in small grids or how to play planarity"

Connected through hyperedge HE-2 (induced by source paper "polyline drawings with topological constraints"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "compact drawings of 1 planar graphs with right angle crossings and few bends"
    - "on optimal 2 and 3 planar graphs"
    - "an annotated bibliography on 1 planarity"
    - "new results on edge partitions of 1 plane graphs"
    - "relating graph thickness to planar layers and bend complexity"
    - "straight line drawability of a planar graph plus an edge"

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)