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: "surface approximation via asymptotic optimal geometric partition"
  Abstract: In this paper, we present a surface remeshing method with high approximation quality based on Principal Component Analysis. Given a triangular mesh and a user assigned polygon/vertex budget, traditional methods usually require the extra curvature metric field for the desired anisotropy to best approximate the surface, even though the estimated curvature metric is known to be imperfect and already self-contained in the surface. In our approach, this anisotropic control is achieved through the optimal geometry partition without this explicit metric field. The minimization of our proposed partition energy has the following properties: Firstly, on a C2 surface, it is theoretically guaranteed to have the optimal aspect ratio and cluster size as specified in approximation theory for L1 piecewise linear approximation. Secondly, it captures sharp features on practical models without any pre-tagging. We develop an effective merging-swapping framework to seek the optimal partition and construct polygonal/triangular mesh afterwards. The effectiveness and efficiency of our method are demonstrated through the comparison with other state-of-the-art remeshing methods.

Connected through hyperedge HE-1 (induced by source paper "efficient plane based optimization of geometry and texture for indoor rgb d reconstruction"):
  with members:
    - "plane based optimization of geometry and texture for rgb d reconstruction of indoor scenes"
    - "infinitam v3 a framework for large scale 3d reconstruction with loop closure"
    - "de noising stabilizing and completing 3d reconstructions on the go using plane priors"
    - "bundlefusion real time globally consistent 3d reconstruction using on the fly surface re integration"
    - "fine to coarse global registration of rgb d scans"

Connected through hyperedge HE-2 (induced by source paper "plane based optimization of geometry and texture for rgb d reconstruction of indoor scenes"):
  with members:
    - "infinitam v3 a framework for large scale 3d reconstruction with loop closure"
    - "de noising stabilizing and completing 3d reconstructions on the go using plane priors"
    - "bundlefusion real time globally consistent 3d reconstruction using on the fly surface re integration"
    - "fine to coarse global registration of rgb d scans"

Connected through hyperedge HE-3 (induced by source paper "articulatedfusion real time reconstruction of motion geometry and segmentation using a single depth camera"):
  with members:
    - "doublefusion real time capture of human performances with inner body shapes from a single depth sensor"
    - "volumedeform real time volumetric non rigid reconstruction"
    - "reconstructing articulated rigged models from rgb d videos"

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)