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: "inserting multiple edges into a planar graph"
  Abstract: Let $G$ be a connected planar (but not yet embedded) graph and $F$ a set of additional edges not yet in $G$. The {multiple edge insertion} problem (MEI) asks for a drawing of $G+F$ with the minimum number of pairwise edge crossings, such that the subdrawing of $G$ is plane. An optimal solution to this problem approximates the crossing number of the graph $G+F$. #R##N#Finding an exact solution to MEI is NP-hard for general $F$, but linear time solvable for the special case of $|F|=1$ (SODA01, Algorithmica) or when all of $F$ are incident to a new vertex (SODA09). #R##N#The complexity for general $F$ but with constant $k=|F|$ was open, but algorithms both with relative and absolute approximation guarantees have been presented (SODA11, ICALP11). We show that the problem is fixed parameter tractable (FPT) in $k$ for biconnected $G$, or if the cut vertices of $G$ have degrees bounded by a constant. We give the first exact algorithm for this problem; it requires only $O(|V(G)|)$ time for any constant $k$.

Connected through hyperedge HE-1 (induced by source paper "an experimental study of a 1 planarity testing and embedding algorithm"):
  with members:
    - "planar graphs have bounded queue number"
    - "a survey on graph drawing beyond planarity"
    - "parameterized complexity of 1 planarity"
    - "recognizing optimal 1 planar graphs in linear time"
    - "embedding preserving rectangle visibility representations of nonplanar graphs"
    - "an annotated bibliography on 1 planarity"
    - "crossing patterns in nonplanar road networks"
    - "re embedding a 1 plane graph into a straight line drawing in linear time"

Connected through hyperedge HE-2 (induced by source paper "geometric crossing minimization a scalable randomized approach"):
  with members:
    - "a heuristic approach towards drawings of graphs with high crossing resolution"
    - "a greedy heuristic for crossing angle maximization"
    - "drawing large graphs by multilevel maxent stress optimization"

Connected through hyperedge HE-3 (induced by source paper "a survey on graph drawing beyond planarity"):
  with members:
    - "parameterized complexity of 1 planarity"
    - "minimum weight connectivity augmentation for planar straight line graphs"
    - "compact drawings of 1 planar graphs with right angle crossings and few bends"
    - "drawing subcubic 1 planar graphs with few bends few slopes and large angles"
    - "turning cliques into paths to achieve planarity"
    - "a heuristic approach towards drawings of graphs with high crossing resolution"
    - "on rac drawings of graphs with one bend per edge"
    - "recognizing optimal 1 planar graphs in linear time"

Connected through hyperedge HE-4 (induced by source paper "crossing numbers and stress of random graphs"):
  with members:
    - "approximating the rectilinear crossing number"
    - "crossing number for graphs with bounded pathwidth"
    - "hardness of approximation for crossing number"
    - "an algorithm for the graph crossing number problem"

Connected through hyperedge HE-5 (induced by source paper "inserting an edge into a geometric embedding"):
  with members:
    - "straight line drawability of a planar graph plus an edge"

Connected through hyperedge HE-6 (induced by source paper "crossing number for graphs with bounded pathwidth"):
  with members:
    - "approximating the rectilinear crossing number"
    - "hardness of approximation for crossing number"
    - "an algorithm for the graph crossing number problem"
    - "computing crossing numbers in quadratic time"

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)