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 partial unit memory codes based on gabidulin codes"
  Abstract: (Partial) Unit Memory ((P)UM) codes provide a powerful possibility to construct convolutional codes based on block codes in order to achieve a high decoding performance. In this contribution, a construction based on Gabidulin codes is considered. This construction requires a modified rank metric, the so-called sum rank metric. For the sum rank metric, the free rank distance, the extended row rank distance and its slope are defined analogous to the extended row distance in Hamming metric. Upper bounds for the free rank distance and the slope of (P)UM codes in the sum rank metric are derived and an explicit construction of (P)UM codes based on Gabidulin codes is given, achieving the upper bound for the free rank distance.

Connected through hyperedge HE-1 (induced by source paper "reliable and secure multishot network coding using linearized reed solomon codes"):
  with members:
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "relative generalized matrix weights of matrix codes for universal security on wire tap networks"
    - "sub quadratic decoding of gabidulin codes"
    - "relative generalized rank weight of linear codes and its applications to network coding"
    - "convolutional codes in rank metric with application to random network coding"
    - "convolutional codes with maximum column sum rank for network streaming"
    - "bounds on list decoding of rank metric codes"
    - "universal secure network coding via rank metric codes"

Connected through hyperedge HE-2 (induced by source paper "theory of supports for linear codes endowed with the sum rank metric"):
  with members:
    - "private information retrieval from locally repairable databases with colluding servers"
    - "on defining generalized rank weights"
    - "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"
    - "relative generalized matrix weights of matrix codes for universal security on wire tap networks"
    - "private information retrieval from coded databases with colluding servers"
    - "rank error correcting pairs"
    - "relative generalized rank weight of linear codes and its applications to network coding"

Connected through hyperedge HE-3 (induced by source paper "skew and linearized reed solomon codes and maximum sum rank distance codes over any division ring"):
  with members:
    - "generalized gabidulin codes over fields of any characteristic"
    - "matroidal structure of skew polynomial rings with application to network coding"
    - "convolutional codes in rank metric with application to random network coding"
    - "on the similarities between generalized rank and hamming weights and their applications to network coding"
    - "convolutional codes with maximum column sum rank for network streaming"
    - "generalization of gabidulin codes over fields of rational functions"
    - "universal secure network coding via rank metric codes"
    - "multishot codes for network coding using rank metric codes"

Connected through hyperedge HE-4 (induced by source paper "convolutional codes in rank metric with application to random network coding"):
  with members:
    - "efficient decoding of partial unit memory codes of arbitrary rate"
    - "localized dimension growth in random network coding a convolutional approach"
    - "a matroid framework for noncoherent random network communications"
    - "multishot codes for network coding using rank metric codes"
    - "on network error correcting convolutional codes under the bsc edge error model"
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-5 (induced by source paper "error correction for differential linear network coding in slowly varying networks"):
  with members:
    - "convolutional codes in rank metric with application to random network coding"
    - "communication over finite field matrix channels"
    - "coding for errors and erasures in random network coding"

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)