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: "a novel stretch energy minimization algorithm for equiareal parameterizations"
  Abstract: Surface parameterizations have been widely applied to computer graphics and digital geometry processing. In this paper, we propose a novel stretch energy minimization (SEM) algorithm for the computation of equiareal parameterizations of simply connected open surfaces with a very small area distortion and a highly improved computational efficiency. In addition, the existence of nontrivial limit points of the SEM algorithm is guaranteed under some mild assumptions of the mesh quality. Numerical experiments indicate that the efficiency, accuracy, and robustness of the proposed SEM algorithm outperform other state-of-the-art algorithms. Applications of the SEM on surface remeshing and surface registration for simply connected open surfaces are demonstrated thereafter. Thanks to the SEM algorithm, the computations for these applications can be carried out efficiently and robustly.

Connected through hyperedge HE-1 (induced by source paper "shape analysis via inconsistent surface registration"):
  with members:
    - "tooth morphometry using quasi conformal theory"
    - "inconsistent surface registration via optimization of mapping distortions"
    - "parallelizable global conformal parameterization of simply connected surfaces via partial welding"
    - "boundary first flattening"
    - "density equalizing maps for simply connected open surfaces"
    - "fast spherical quasiconformal parameterization of genus 0 closed surfaces with application to adaptive remeshing"
    - "tempo feature endowed teichm uller extremal mappings of point clouds"
    - "a linear formulation for disk conformal parameterization of simply connected open surfaces"

Connected through hyperedge HE-2 (induced by source paper "parallelizable global conformal parameterization of simply connected surfaces via partial welding"):
  with members:
    - "tooth morphometry using quasi conformal theory"
    - "area preserving mapping of 3d ultrasound carotid artery images using density equalizing reference map"
    - "boundary first flattening"
    - "density equalizing maps for simply connected open surfaces"
    - "fast spherical quasiconformal parameterization of genus 0 closed surfaces with application to adaptive remeshing"
    - "tempo feature endowed teichm uller extremal mappings of point clouds"
    - "sparsified cholesky and multigrid solvers for connection laplacians"
    - "a linear formulation for disk conformal parameterization of simply connected open surfaces"

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.GR(Graphics)