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: "directional spin wavelets on the sphere"
  Abstract: We construct a directional spin wavelet framework on the sphere by generalising the scalar scale-discretised wavelet transform to signals of arbitrary spin. The resulting framework is the only wavelet framework defined natively on the sphere that is able to probe the directional intensity of spin signals. Furthermore, directional spin scale-discretised wavelets support the exact synthesis of a signal on the sphere from its wavelet coefficients and satisfy excellent localisation and uncorrelation properties. Consequently, directional spin scale-discretised wavelets are likely to be of use in a wide range of applications and in particular for the analysis of the polarisation of the cosmic microwave background (CMB). We develop new algorithms to compute (scalar and spin) forward and inverse wavelet transforms exactly and efficiently for very large data-sets containing tens of millions of samples on the sphere. By leveraging a novel sampling theorem on the rotation group developed in a companion article, only half as many wavelet coefficients as alternative approaches need be computed, while still capturing the full information content of the signal under analysis. Our implementation of these algorithms is made publicly available.

Connected through hyperedge HE-1 (induced by source paper "localisation of directional scale discretised wavelets on the sphere"):
  with members:
    - "a novel sampling theorem on the rotation group"
    - "on the computation of directional scale discretized wavelet transforms on the sphere"
    - "fourier laguerre transform convolution and wavelets on the ball"
    - "s2let a code to perform fast wavelet analysis on the sphere"
    - "exact wavelets on the ball"
    - "a novel sampling theorem on the sphere"

Connected through hyperedge HE-2 (induced by source paper "sparse image reconstruction on the sphere analysis and synthesis"):
  with members:
    - "localisation of directional scale discretised wavelets on the sphere"
    - "second generation curvelets on the sphere"
    - "sampling sparse signals on the sphere algorithms and applications"
    - "accurate reconstruction of finite rate of innovation signals on the sphere"
    - "gauss legendre sampling on the rotation group"
    - "consistent discretization and minimization of the l1 norm on manifolds"
    - "a novel sampling theorem on the rotation group"
    - "ridgelet transform on the sphere"

Connected through hyperedge HE-3 (induced by source paper "second generation curvelets on the sphere"):
  with members:
    - "localisation of directional scale discretised wavelets on the sphere"
    - "a novel sampling theorem on the rotation group"
    - "ridgelet transform on the sphere"
    - "on the computation of directional scale discretized wavelet transforms on the sphere"
    - "fourier laguerre transform convolution and wavelets on the ball"
    - "s2let a code to perform fast wavelet analysis on the sphere"
    - "exact wavelets on the ball"
    - "a novel sampling theorem on the sphere"

Connected through hyperedge HE-4 (induced by source paper "wavelet based segmentation on the sphere"):
  with members:
    - "spherical cnns on unstructured grids"
    - "localisation of directional scale discretised wavelets on the sphere"
    - "sparse image reconstruction on the sphere analysis and synthesis"
    - "second generation curvelets on the sphere"
    - "learning so 3 equivariant representations with spherical cnns"
    - "a three stage approach for segmenting degraded color images smoothing lifting and thresholding slat"
    - "a novel sampling theorem on the rotation group"
    - "ridgelet transform on the sphere"

Connected through hyperedge HE-5 (induced by source paper "a novel sampling theorem on the rotation group"):
  with members:
    - "second generation curvelets on the sphere"
    - "gauss legendre sampling on the rotation group"
    - "an optimal dimensionality sampling scheme on the sphere with fast spherical harmonic transforms"
    - "on the computation of directional scale discretized wavelet transforms on the sphere"
    - "exact wavelets on the ball"
    - "a novel sampling theorem on the sphere"

Connected through hyperedge HE-6 (induced by source paper "ridgelet transform on the sphere"):
  with members:
    - "a novel sampling theorem on the rotation group"
    - "on the computation of directional scale discretized wavelet transforms on the sphere"
    - "fourier laguerre transform convolution and wavelets on the ball"
    - "s2let a code to perform fast wavelet analysis on the sphere"
    - "exact wavelets on the ball"
    - "a novel sampling theorem on the sphere"

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.IT(Information Theory)