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 graph crossing number and edge planarization"
  Abstract: Given an n-vertex graph G, a drawing of G in the plane is a mapping of its vertices into points of the plane, and its edges into continuous curves, connecting the images of their endpoints. A crossing in such a drawing is a point where two such curves intersect. In the Minimum Crossing Number problem, the goal is to find a drawing of G with minimum number of crossings. The value of the optimal solution, denoted by OPT, is called the graph's crossing number. This is a very basic problem in topological graph theory, that has received a significant amount of attention, but is still poorly understood algorithmically. The best currently known efficient algorithm produces drawings with $O(\log^2 n)(n + OPT)$ crossings on bounded-degree graphs, while only a constant factor hardness of approximation is known. A closely related problem is Minimum Edge Planarization, in which the goal is to remove a minimum-cardinality subset of edges from G, such that the remaining graph is planar. Our main technical result establishes the following connection between the two problems: if we are given a solution of cost k to the Minimum Edge Planarization problem on graph G, then we can efficiently find a drawing of G with at most $\poly(d)\cdot k\cdot (k+OPT)$ crossings, where $d$ is the maximum degree in G. This result implies an $O(n\cdot \poly(d)\cdot \log^{3/2}n)$-approximation for Minimum Crossing Number, as well as improved algorithms for special cases of the problem, such as, for example, k-apex and bounded-genus graphs.

Connected through hyperedge HE-1 (induced by source paper "the effect of planarization on width"):
  with members:
    - "lower bounds for protrusion replacement by counting equivalence classes"
    - "planar induced subgraphs of sparse graphs"

Connected through hyperedge HE-2 (induced by source paper "polylogarithmic approximation for minimum planarization almost"):
  with members:
    - "beyond the euler characteristic approximating the genus of general graphs"
    - "approximation algorithms for euler genus and related problems"
    - "grid minors in damaged grids"
    - "an algorithm for the graph crossing number problem"
    - "obtaining a planar graph by vertex deletion"

Connected through hyperedge HE-3 (induced by source paper "inserting multiple edges into a planar graph"):
  with members:
    - "adding one edge to planar graphs makes crossing number and 1 planarity hard"
    - "hardness of approximation for crossing number"
    - "an algorithm for the graph crossing number problem"
    - "shortest vertex disjoint two face paths in planar graphs"
    - "computing crossing numbers in quadratic time"

Connected through hyperedge HE-4 (induced by source paper "approximation algorithms for euler genus and related problems"):
  with members:
    - "a near optimal approximation algorithm for asymmetric tsp on embedded graphs"
    - "grid minors in damaged grids"
    - "an algorithm for the graph crossing number problem"
    - "the asymmetric traveling salesman problem on graphs with bounded genus"

Connected through hyperedge HE-5 (induced by source paper "a tighter insertion based approximation of the crossing number"):
  with members:
    - "an algorithm for the graph crossing number problem"

Connected through hyperedge HE-6 (induced by source paper "an algorithm for the graph crossing number problem"):
  with members:
    - "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)