human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "smooth shells multi scale shape registration with functional maps"):
  Abstract: We propose a novel 3D shape correspondence method based on the iterative alignment of so-called smooth shells. Smooth shells define a series of coarse-to-fine, smooth shape approximations that are designed to work well with multiscale algorithms. In this paper, we alternate between aligning smooth shells and computing Functional Maps between the inputs. Aligning very smooth approximations reduces the complexity of the overall process but during the iterations the amount of detail in the shells increases which helps to refine the resulting correspondence. Furthermore, we solve the problem of ambiguities from intrinsic symmetries by applying a surrogate based Markov chain Monte Carlo initialization. We show state-of-the-art quantitative results on several datasets focussing on isometries, topological changes and different connectivity. Additionally, we show qualitative results on challenging interclass pairs.

Includes members:
  Member "lbs autoencoder self supervised fitting of articulated meshes to point clouds":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cyclic functional mapping self supervised correspondence between non isometric deformable shapes")
  Member "zoomout spectral upsampling for efficient shape correspondence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mina convex mixed integer programming for non rigid shape alignment")
  Member "divergence free shape interpolation and correspondence":
    also connected through other hyperedges:
      (none)
  Member "continuous and orientation preserving correspondences via functional maps":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mina convex mixed integer programming for non rigid shape alignment")
  Member "3d coded 3d correspondences by deep deformation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "when deep learning meets data alignment a review on deep registration networks drns")
  Member "farm functional automatic registration method for 3d human bodies":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the whole is greater than the sum of its nonrigid parts")
  Member "product manifold filter non rigid shape correspondence via kernel density estimation in the product space":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "mina convex mixed integer programming for non rigid shape alignment")
  Member "efficient deformable shape correspondence via kernel matching":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "spectral coarsening of geometric operators")

Question: Please tell me which class the source paper 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.CV(Computer Vision and Pattern Recognition)