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: "on error decoding of locally repairable and partial mds codes"
  Abstract: We consider error decoding of locally repairable codes (LRC) and partial MDS (PMDS) codes through interleaved decoding. For a specific class of LRCs we investigate the success probability of interleaved decoding. For PMDS codes we show that there is a wide range of parameters for which interleaved decoding can increase their decoding radius beyond the minimum distance with the probability of successful decoding approaching $1$, when the code length goes to infinity.

Connected through hyperedge HE-1 (induced by source paper "partial mds codes with local regeneration"):
  with members:
    - "locally repairable and locally regenerating codes obtained by parity splitting of hashtag codes"
    - "explicit constructions of high rate mds array codes with optimal repair bandwidth"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "explicit maximally recoverable codes with locality"
    - "optimal locally repairable codes and connections to matroid theory"
    - "partial mds codes and their application to raid type of architectures"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-2 (induced by source paper "decoding high order interleaved rank metric codes"):
  with members:
    - "on decoding and applications of interleaved goppa codes"
    - "improved power decoding of interleaved one point hermitian codes"
    - "on a rank metric code based cryptosystem with small key size"
    - "a public key cryptosystem from interleaved goppa codes"
    - "repairing the faure loidreau public key cryptosystem"
    - "fast multiplication for skew polynomials"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"
    - "decoding of interleaved reed solomon codes using improved power decoding"

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)