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: "subspace polynomials and cyclic subspace codes"
  Abstract: Subspace codes have received an increasing interest recently due to their application in error-correction for random network coding. In particular, cyclic subspace codes are possible candidates for large codes with efficient encoding and decoding algorithms. In this paper we consider such cyclic codes and provide constructions of optimal codes for which their codewords do not have full orbits. We further introduce a new way to represent subspace codes by a class of polynomials called subspace polynomials. We present some constructions of such codes which are cyclic and analyze their parameters.

Connected through hyperedge HE-1 (induced by source paper "distance distributions of cyclic orbit codes"):
  with members:
    - "construction of sidon spaces with applications to coding"
    - "constructions of cyclic constant dimension codes"
    - "construction of subspace codes through linkage"
    - "subspace codes based on graph matchings ferrers diagrams and pending blocks"
    - "cyclic orbit codes and stabilizer subfields"
    - "cyclic orbit codes"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-2 (induced by source paper "cliques in projective space and construction of cyclic grassmannian codes"):
  with members:
    - "constructions of cyclic constant dimension codes"
    - "cyclic orbit codes and stabilizer subfields"
    - "cyclic orbit codes"
    - "construction of large constant dimension codes with a prescribed minimum distance"

Connected through hyperedge HE-3 (induced by source paper "maximal ferrers diagram codes constructions and genericity considerations"):
  with members:
    - "on the sparseness of certain mrd codes"
    - "partition balanced families of codes and asymptotic enumeration in coding theory"
    - "on the genericity of maximum rank distance and gabidulin codes"
    - "algebraic structures of mrd codes"
    - "construction of subspace codes through linkage"
    - "row reduction applied to decoding of rank metric and subspace codes"
    - "subspace codes based on graph matchings ferrers diagrams and pending blocks"
    - "subspace codes from ferrers diagrams"

Connected through hyperedge HE-4 (induced by source paper "constructions of cyclic constant dimension codes"):
  with members:
    - "vector network coding based on subspace codes outperforms scalar linear network coding"
    - "cyclic orbit codes and stabilizer subfields"
    - "cyclic orbit codes"
    - "bounds on list decoding of rank metric codes"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "coding for errors and erasures in random network coding"
    - "johnson type bounds on constant dimension codes"

Connected through hyperedge HE-5 (induced by source paper "on quasi cyclic subspace codes"):
  with members:
    - "cyclic orbit codes and stabilizer subfields"
    - "cyclic orbit codes"
    - "a rank metric approach to error control in random network coding"
    - "construction of large constant dimension codes with a prescribed minimum distance"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-6 (induced by source paper "some gabidulin codes cannot be list decoded efficiently at any radius"):
  with members:
    - "list and probabilistic unique decoding of folded subspace codes"
    - "on the geometry of balls in the grassmannian and list decoding of lifted gabidulin codes"
    - "optimal locally repairable codes via rank metric codes"
    - "bounds on list decoding of rank metric codes"
    - "list decoding subspace codes from insertions and deletions"
    - "algebraic list decoding of subspace codes"
    - "error resilience in distributed storage via rank metric codes"
    - "a rank metric approach to error control in random network coding"

Connected through hyperedge HE-7 (induced by source paper "message encoding and retrieval for spread and cyclic orbit codes"):
  with members:
    - "subspace codes based on graph matchings ferrers diagrams and pending blocks"
    - "cyclic orbit codes and stabilizer subfields"
    - "message encoding for spread and orbit codes"
    - "a complete characterization of irreducible cyclic orbit codes and their plucker embedding"
    - "cyclic orbit codes"
    - "partial spreads in random network coding"
    - "canonical forms and automorphisms in the projective space"
    - "gray codes and enumerative coding for vector spaces"

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)