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: "phase retrieval from low rate samples"
  Abstract: The paper considers the phase retrieval problem in N-dimensional complex vector spaces. It provides two sets of deterministic measurement vectors which guarantee signal recovery for all signals, excluding only a specific subspace and a union of subspaces, respectively. A stable analytic reconstruction procedure of low complexity is given. Additionally it is proven that signal recovery from these measurements can be solved exactly via a semidefinite program. A practical implementation with 4 deterministic diffraction patterns is provided and some numerical experiments with noisy measurements complement the analytic approach.

Connected through hyperedge HE-1 (induced by source paper "improved recovery guarantees for phase retrieval from coded diffraction patterns"):
  with members:
    - "a partial derandomization of phaselift using spherical designs"
    - "low rank matrix recovery from rank one measurements"
    - "ripless compressed sensing from anisotropic measurements"
    - "phase retrieval from coded diffraction patterns"
    - "phase retrieval stability and recovery guarantees"
    - "solving quadratic equations via phaselift when there are about as many equations as unknowns"
    - "phase retrieval with polarization"
    - "phaselift exact and stable signal recovery from magnitude measurements via convex programming"

Connected through hyperedge HE-2 (induced by source paper "phaseless sampling and reconstruction of real valued signals in shift invariant spaces"):
  with members:
    - "phase retrieval from multiple window short time fourier measurements"
    - "phase retrieval from the magnitudes of affine linear measurements"
    - "corruption robust phase retrieval via linear programming"
    - "phase retrieval of real valued signals in a shift invariant space"
    - "spatially distributed sampling and reconstruction"
    - "phase retrieval an overview of recent developments"
    - "phaseless signal recovery in infinite dimensional spaces using structured modulations"
    - "phaselift exact and stable signal recovery from magnitude measurements via convex programming"

Connected through hyperedge HE-3 (induced by source paper "phase retrieval of real valued signals in a shift invariant space"):
  with members:
    - "phaseless sampling and reconstruction of real valued signals in shift invariant spaces"
    - "phase retrieval from the magnitudes of affine linear measurements"
    - "prime phase retrieval via majorization minimization"
    - "nonlinear frames and sparse reconstructions in banach spaces"
    - "spatially distributed sampling and reconstruction"
    - "phase retrieval via wirtinger flow theory and algorithms"
    - "phase retrieval an overview of recent developments"
    - "phasecode fast and efficient compressive phase retrieval based on sparse graph codes"

Connected through hyperedge HE-4 (induced by source paper "system approximations and generalized measurements in modern sampling theory"):
  with members:
    - "signal and system approximation from general measurements"
    - "phase retrieval via structured modulations in paley wiener spaces"
    - "phaseless signal recovery in infinite dimensional spaces using structured modulations"
    - "the papr problem in ofdm transmission new directions for a long lasting problem"
    - "phaselift exact and stable signal recovery from magnitude measurements via convex programming"
    - "phase retrieval via matrix completion"
    - "recovering signals from lowpass data"
    - "beyond bandlimited sampling nonlinearities smoothness and sparsity"

Connected through hyperedge HE-5 (induced by source paper "phasecode fast and efficient compressive phase retrieval based on sparse graph codes"):
  with members:
    - "compressive phase retrieval via generalized approximate message passing"
    - "phase retrieval via wirtinger flow theory and algorithms"
    - "reliable deniable and hidable communication over multipath networks"
    - "super sparse signals with unknown phases efficiently recovered"
    - "phase retrieval for sparse signals"
    - "new conditions for sparse phase retrieval"
    - "computing a k sparse n length discrete fourier transform using at most 4k samples and o k log k complexity"
    - "near optimal phase retrieval of sparse vectors"

Connected through hyperedge HE-6 (induced by source paper "fast compressive phase retrieval from fourier measurements"):
  with members:
    - "a partial derandomization of phaselift using spherical designs"
    - "compressive phase retrieval via generalized approximate message passing"
    - "phasecode fast and efficient compressive phase retrieval based on sparse graph codes"
    - "phase retrieval via structured modulations in paley wiener spaces"
    - "phaseless signal recovery in infinite dimensional spaces using structured modulations"
    - "new conditions for sparse phase retrieval"
    - "phase retrieval from coded diffraction patterns"
    - "sparse signal recovery from quadratic measurements via convex programming"

Connected through hyperedge HE-7 (induced by source paper "phaseless signal recovery in infinite dimensional spaces using structured modulations"):
  with members:
    - "phase retrieval via structured modulations in paley wiener spaces"
    - "phase retrieval via matrix completion"

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)