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: "crossing minimization in perturbed drawings"
  Abstract: Due to data compression or low resolution, nearby vertices and edges of a graph drawing may be bundled to a common node or arc. We model such a `compromised' drawing by a piecewise linear map $\varphi:G\rightarrow \mathbb{R}^2$. We wish to perturb $\varphi$ by an arbitrarily small $\varepsilon>0$ into a proper drawing (in which the vertices are distinct points, any two edges intersect in finitely many points, and no three edges have a common interior point) that minimizes the number of crossings. An $\varepsilon$-perturbation, for every $\varepsilon>0$, is given by a piecewise linear map $\psi_\varepsilon:G\rightarrow \mathbb{R}^2$ with $\|\varphi-\psi_\varepsilon\|<\varepsilon$, where $\|.\|$ is the uniform norm (i.e., $\sup$ norm). #R##N#We present a polynomial-time solution for this optimization problem when $G$ is a cycle and the map $\varphi$ has no \emphh{spurs} (i.e., no two adjacent edges are mapped to overlapping arcs). We also show that the problem becomes NP-complete (i) when $G$ is an arbitrary graph and $\varphi$ has no spurs, and (ii) when $\varphi$ may have spurs and $G$ is a cycle or a union of disjoint paths.

Connected through hyperedge HE-1 (induced by source paper "exact crossing number parameterized by vertex cover"):
  with members:
    - "approximating the rectilinear crossing number"
    - "crossing number for graphs with bounded pathwidth"
    - "parameterized integer quadratic programming variables and coefficients"
    - "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"
    - "computing crossing numbers in quadratic time"

Connected through hyperedge HE-2 (induced by source paper "homotopic curve shortening and the affine curve shortening flow"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "grid peeling and the affine curve shortening flow"
    - "peeling the grid"
    - "computing homotopic shortest paths efficiently"

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)