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: "maximum likelihood decoding of reed solomon codes is np hard"
  Abstract: Maximum-likelihood decoding is one of the central algorithmic problems in coding theory. It has been known for over 25 years that maximum-likelihood decoding of general linear codes is NP-hard. Nevertheless, it was so far unknown whether maximum- likelihood decoding remains hard for any specific family of codes with nontrivial algebraic structure. In this paper, we prove that maximum-likelihood decoding is NP-hard for the family of Reed-Solomon codes. We moreover show that maximum-likelihood decoding of Reed-Solomon codes remains hard even with unlimited preprocessing, thereby strengthening a result of Bruck and Naor.

Connected through hyperedge HE-1 (induced by source paper "randomized decoding of gabidulin codes beyond the unique decoding radius"):
  with members:
    - "on the list decodability of rank metric codes"
    - "ramesses a rank metric encryption scheme with short keys"
    - "an algebraic attack on rank metric code based cryptosystems"
    - "polynomial time key recovery attack on the faure loidreau scheme based on gabidulin codes"
    - "some gabidulin codes cannot be list decoded efficiently at any radius"
    - "bounds on list decoding of rank metric codes"
    - "on the complexity of the rank syndrome decoding problem"
    - "a basis for all solutions of the key equation for gabidulin codes"

Connected through hyperedge HE-2 (induced by source paper "explicit constructions of two dimensional reed solomon codes in high insertion and deletion noise regime"):
  with members:
    - "on list decoding of insertion and deletion errors"
    - "on the list decodability of insertions and deletions"
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "optimal rate list decoding via derivative codes"

Connected through hyperedge HE-3 (induced by source paper "power error locating pairs"):
  with members:
    - "sub quadratic decoding of one point hermitian codes"
    - "cryptanalysis of mceliece cryptosystem based on algebraic geometry codes and their subcodes"
    - "power decoding of reed solomon codes revisited"
    - "syndrome decoding of reed solomon codes beyond half the minimum distance based on shift register synthesis"
    - "collaborative decoding of interleaved reed solomon codes and concatenated code designs"

Connected through hyperedge HE-4 (induced by source paper "on deep holes of gabidulin codes"):
  with members:
    - "explicit deep holes of reed solomon codes"
    - "on deep holes of projective reed solomon codes"
    - "gabidulin decoding via minimal bases of linearized polynomial modules"
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"
    - "packing and covering properties of rank metric codes"
    - "properties of codes in rank metric"
    - "properties of codes with the rank metric"

Connected through hyperedge HE-5 (induced by source paper "np hardness of reed solomon decoding and the prouhet tarry escott problem"):
  with members:
    - "every list decodable code for high noise has abundant near optimal rate puncturings"
    - "explicit codes achieving list decoding capacity error correction with optimal redundancy"
    - "hard problems of algebraic geometry codes"

Connected through hyperedge HE-6 (induced by source paper "deep holes and mds extensions of reed solomon codes"):
  with members:
    - "counting generalized reed solomon codes"
    - "on deciding deep holes of reed solomon codes"

Connected through hyperedge HE-7 (induced by source paper "bounds on the ml decoding error probability of rs coded modulation over awgn channels"):
  with members:
    - "new techniques for upper bounding the ml decoding performance of binary linear codes"
    - "tightened upper bounds on the ml decoding error probability of binary linear block codes"
    - "iterative soft input soft output decoding of reed solomon codes by adapting the parity check matrix"

Connected through hyperedge HE-8 (induced by source paper "security of the improved fuzzy vault scheme in the presence of record multiplicity full version"):
  with members:
    - "attacks and countermeasures in fingerprint based biometric cryptosystems"
    - "performance of the fuzzy vault for multiple fingerprints extended version"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"

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.CC(Computational Complexity)