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: "low rank matrix recovery using gabidulin codes in characteristic zero"
  Abstract: We present a new approach on low-rank matrix recovery (LRMR) based on Gabidulin Codes. Since most applications of LRMR deal with matrices over infinite fields, we use the recently introduced generalization of Gabidulin codes to fields of characterstic zero. We show that LRMR can be reduced to decoding of Gabidulin codes and discuss which field extensions can be used in the code construction.

Connected through hyperedge HE-1 (induced by source paper "reed solomon codes over fields of characteristic zero"):
  with members:
    - "generalized gabidulin codes over fields of any characteristic"
    - "guruswami sudan list decoding for complex reed solomon codes"
    - "an alternative decoding method for gabidulin codes in characteristic zero"
    - "syndrome decoding of reed solomon codes beyond half the minimum distance based on shift register synthesis"
    - "new list decoding algorithms for reed solomon and bch codes"

Connected through hyperedge HE-2 (induced by source paper "systematic encoders for generalized gabidulin codes and the q analogue of cauchy matrices"):
  with members:
    - "systematic maximum sum rank codes"
    - "equivalence and characterizations of linear rank metric codes based on invariants"
    - "random construction of partial mds codes"
    - "partition balanced families of codes and asymptotic enumeration in coding theory"
    - "on the genericity of maximum rank distance and gabidulin codes"
    - "generalized gabidulin codes over fields of any characteristic"
    - "fuzzy authentication using rank distance"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"

Connected through hyperedge HE-3 (induced by source paper "row reduction applied to decoding of rank metric and subspace codes"):
  with members:
    - "decoding interleaved gabidulin codes using alekhnovich s algorithm"
    - "an alternative decoding method for gabidulin codes in characteristic zero"
    - "sub quadratic decoding of one point hermitian codes"
    - "fast operations on linearized polynomials and their applications in coding theory"
    - "solving shift register problems over skew polynomial rings using module minimisation"
    - "power decoding reed solomon codes up to the johnson radius"
    - "explicit rank metric codes list decodable with optimal redundancy"
    - "generalised multi sequence shift register synthesis using module minimisation"

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)