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: "simple compact monotone tree drawings"
  Abstract: A monotone drawing of a graph G is a straight-line drawing of G such that every pair of vertices is connected by a path that is monotone with respect to some direction. #R##N#Trees, as a special class of graphs, have been the focus of several papers and, recently, He and He showed how to produce a monotone drawing of an arbitrary $n$-vertex tree that is contained in a $12n \times 12n$ grid. #R##N#In this paper, we present a simple algorithm that constructs for each arbitrary tree a monotone drawing on a grid of size at most $n \times n$.

Connected through hyperedge HE-1 (induced by source paper "uniform 2d monotone minimum spanning graphs"):
  with members:
    - "angle monotone graphs construction and local routing"
    - "drawing a rooted tree as a rooted y monotone minimum spanning tree"
    - "angle monotone paths in non obtuse triangulations"
    - "optimal monotone drawings of trees"
    - "rooted uniform monotone minimum spanning trees"
    - "gabriel triangulations and angle monotone graphs local routing and recognition"
    - "on self approaching and increasing chord drawings of 3 connected planar graphs"
    - "increasing chord graphs on point sets"

Connected through hyperedge HE-2 (induced by source paper "drawing a rooted tree as a rooted y monotone minimum spanning tree"):
  with members:
    - "tree drawings revisited"
    - "optimal monotone drawings of trees"
    - "rooted uniform monotone minimum spanning trees"

Connected through hyperedge HE-3 (induced by source paper "monotone drawings of k inner planar graphs"):
  with members:
    - "optimal monotone drawings of trees"
    - "on monotone drawings of trees"
    - "orderly spanning trees with applications"

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.DS(Data Structures and Algorithms)