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: "spherical parameterization balancing angle and area distortions"
  Abstract: This work presents a novel framework for spherical mesh parameterization. An efficient angle-preserving spherical parameterization algorithm is introduced, which is based on dynamic Yamabe flow and the conformal welding method with solid theoretic foundation. An area-preserving spherical parameterization is also discussed, which is based on discrete optimal mass transport theory. Furthermore, a spherical parameterization algorithm, which is based on the polar decomposition method, balancing angle distortion and area distortion is presented. The algorithms are tested on 3D geometric data and the experiments demonstrate the efficiency and efficacy of the proposed methods.

Connected through hyperedge HE-1 (induced by source paper "3dpeople modeling the geometry of dressed humans"):
  with members:
    - "wav2pix speech conditioned face generation using generative adversarial networks"
    - "bodynet volumetric inference of 3d human body shapes"
    - "unsupervised person image synthesis in arbitrary poses"
    - "talking face generation by adversarially disentangled audio visual representation"
    - "geometry aware network for non rigid shape prediction from a single view"
    - "adaptive o cnn a patch based deep representation of 3d shapes"
    - "3d human pose estimation in the wild by adversarial learning"
    - "siclope silhouette based clothed people"

Connected through hyperedge HE-2 (induced by source paper "interpretable spiculation quantification for lung cancer screening"):
  with members:
    - "characterization of lung nodule malignancy using hybrid shape and appearance features"
    - "discovery radiomics for pathologically proven computed tomography lung cancer prediction"

Connected through hyperedge HE-3 (induced by source paper "lmap shape preserving local mappings for biomedical visualization"):
  with members:
    - "corresponding supine and prone colon visualization using eigenfunction analysis and fold modeling"
    - "multimodal brain visualization"

Connected through hyperedge HE-4 (induced by source paper "density equalizing maps for simply connected open surfaces"):
  with members:
    - "tempo feature endowed teichm uller extremal mappings of point clouds"
    - "a linear formulation for disk conformal parameterization of simply connected open surfaces"
    - "spherical conformal parameterization of genus 0 point clouds for meshing"
    - "fast disk conformal parameterization of simply connected open surfaces"

Connected through hyperedge HE-5 (induced by source paper "corresponding supine and prone colon visualization using eigenfunction analysis and fold modeling"):
  with members:
    - "coupled quasi harmonic bases"

Connected through hyperedge HE-6 (induced by source paper "a novel stretch energy minimization algorithm for equiareal parameterizations"):
  with members:
    - "conformal surface morphing with applications on facial expressions"

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)