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: "balanced reed solomon codes"
  Abstract: We consider the problem of constructing linear Maximum Distance Separable (MDS) error-correcting codes with generator matrices that are sparsest and balanced. In this context, sparsest means that every row has the least possible number of non-zero entries, and balanced means that every column contains the same number of non-zero entries. Codes with this structure minimize the maximal computation time of computing any code symbol, a property that is appealing to systems where computational load-balancing is critical. The problem was studied before by Dau et al. where it was shown that there always exists an MDS code over a sufficiently large field such that its generator matrix is both sparsest and balanced. However, the construction is not explicit and more importantly, the resulting MDS codes do not lend themselves to efficient error correction. With an eye towards explicit constructions with efficient decoding, we show in this paper that the generator matrix of a cyclic Reed-Solomon code of length $n$ and dimension $k$ can always be transformed to one that is both sparsest and balanced, for all parameters $n$ and $k$ where $\frac{k}{n}(n - k + 1)$ is an integer.

Connected through hyperedge HE-1 (induced by source paper "weighted gradient coding with leverage score sampling"):
  with members:
    - "numerically stable binary gradient coding"
    - "fundamental limits of approximate gradient coding"
    - "gradient coding based on block designs for mitigating adversarial stragglers"
    - "gradient coding with clustering and multi message communication"
    - "distributed stochastic gradient descent using ldgm codes"
    - "erasurehead distributed gradient descent without delays using approximate gradient coding"
    - "gradient coding from cyclic mds codes and expander graphs"
    - "lecture notes on randomized linear algebra"

Connected through hyperedge HE-2 (induced by source paper "gabidulin codes with support constrained generator matrices"):
  with members:
    - "generalized reed solomon codes with sparsest and balanced generator matrices"
    - "optimum linear codes with support constraints over small fields"
    - "mds matrices over small fields a proof of the gm mds conjecture"
    - "an algebraic combinatorial proof technique for the gm mds conjecture"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"
    - "further generalisations of twisted gabidulin codes"
    - "on the existence of mds codes over small fields with constrained generator matrices"
    - "a rank metric approach to error control in random network coding"

Connected through hyperedge HE-3 (induced by source paper "hierarchical coding for distributed computing"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "coded convolution for parallel and distributed computing within a deadline"
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "gradient coding from cyclic mds codes and expander graphs"
    - "locality aware hybrid coded mapreduce for server rack architecture"
    - "improving distributed gradient descent using reed solomon codes"
    - "coded fourier transform"

Connected through hyperedge HE-4 (induced by source paper "generalized reed solomon codes with sparsest and balanced generator matrices"):
  with members:
    - "an algebraic combinatorial proof technique for the gm mds conjecture"
    - "cooperative data exchange based on mds codes"
    - "coding with constraints minimum distance bounds and systematic constructions"
    - "on the existence of mds codes over small fields with constrained generator matrices"
    - "balanced sparsest generator matrices for mds codes"

Connected through hyperedge HE-5 (induced by source paper "optimum linear codes with support constraints over small fields"):
  with members:
    - "generalized reed solomon codes with sparsest and balanced generator matrices"
    - "further progress on the gm mds conjecture for reed solomon codes"
    - "an algebraic combinatorial proof technique for the gm mds conjecture"
    - "on the existence of mds codes over small fields with constrained generator matrices"

Connected through hyperedge HE-6 (induced by source paper "further progress on the gm mds conjecture for reed solomon codes"):
  with members:
    - "an algebraic combinatorial proof technique for the gm mds conjecture"
    - "bounds on the parameters of locally recoverable codes"
    - "on the existence of mds codes over small fields with constrained generator matrices"

Connected through hyperedge HE-7 (induced by source paper "an algebraic combinatorial proof technique for the gm mds conjecture"):
  with members:
    - "coding with constraints minimum distance bounds and systematic constructions"
    - "on the existence of mds codes over small fields with constrained generator matrices"
    - "balanced sparsest generator matrices for mds codes"

Connected through hyperedge HE-8 (induced by source paper "improving distributed gradient descent using reed solomon codes"):
  with members:
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "revisiting distributed synchronous sgd"

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)