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: "efficient erasure decoding of reed solomon codes"
  Abstract: We present a practical algorithm to decode erasures of Reed-Solomon codes over the q elements binary field in O(q \log_2^2 q) time where the constant implied by the O-notation is very small. Asymptotically fast algorithms based on fast polynomial arithmetic were already known, but even if their complexity is similar, they are mostly impractical. By comparison our algorithm uses only a few Walsh transforms and has been easily implemented.

Connected through hyperedge HE-1 (induced by source paper "hierarchical coded matrix multiplication"):
  with members:
    - "computation scheduling for distributed machine learning with straggling workers"
    - "cuboid partitioning for hierarchical coded matrix multiplication"
    - "universally decodable matrices for distributed matrix vector multiplication"
    - "hierarchical coded computation"
    - "speeding up distributed machine learning using codes"
    - "c 3 les codes for coded computation that leverage stragglers"
    - "polynomially coded regression optimal straggler mitigation via data encoding"
    - "a unified coded deep neural network training strategy based on generalized polydot codes"

Connected through hyperedge HE-2 (induced by source paper "sef a secure fountain architecture for slashing storage costs in blockchains"):
  with members:
    - "polyshard coded sharding achieves linearly scaling efficiency and security simultaneously"
    - "erasure code based low storage blockchain node"
    - "consensus in the age of blockchains"
    - "dynamic distributed storage for scaling blockchains"
    - "solida a blockchain protocol based on reconfigurable byzantine consensus"
    - "a survey on network codes for distributed storage"

Connected through hyperedge HE-3 (induced by source paper "cuboid partitioning for hierarchical coded matrix multiplication"):
  with members:
    - "hierarchical coded computation"
    - "speeding up distributed machine learning using codes"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "on the optimal recovery threshold of coded matrix multiplication"
    - "exploitation of stragglers in coded computation"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"

Connected through hyperedge HE-4 (induced by source paper "coded fourier transform"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "coding for distributed fog computing"
    - "coded convolution for parallel and distributed computing within a deadline"
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "how to optimally allocate resources for coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"

Connected through hyperedge HE-5 (induced by source paper "polynomial codes an optimal design for high dimensional coded matrix multiplication"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "straggler mitigation in distributed matrix multiplication fundamental limits and optimal coding"
    - "coded computation over heterogeneous clusters"
    - "coded convolution for parallel and distributed computing within a deadline"
    - "how to optimally allocate resources for coded distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"

Connected through hyperedge HE-6 (induced by source paper "vector network coding based on subspace codes outperforms scalar linear network coding"):
  with members:
    - "grassmannian codes with new distance measures for network coding"
    - "linear network coding over rings part ii vector codes and non commutative alphabets"
    - "linear network coding over rings part i scalar codes and commutative alphabets"
    - "on the message dimensions of vector linearly solvable networks"
    - "on vector linear solvability of multicast networks"
    - "multicast network coding and field sizes"
    - "error correcting codes in projective spaces via rank metric codes and ferrers diagrams"
    - "a rank metric approach to error control in random network coding"

Connected through hyperedge HE-7 (induced by source paper "novel polynomial basis and its application to reed solomon erasure codes"):
  with members:
    - "xoring elephants novel erasure codes for big data"
    - "composite cyclotomic fourier transforms with reduced complexities"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "fnt based reed solomon erasure codes"
    - "cyclotomic ffts with reduced additive complexities based on a novel common subexpression elimination algorithm"

Connected through hyperedge HE-8 (induced by source paper "universal polar codes"):
  with members:
    - "finite length scaling for polar codes"
    - "performance limits and practical decoding of interleaved reed solomon polar concatenated codes"
    - "the least degraded and the least upgraded channel with respect to a channel family"
    - "compound polar codes"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "on the construction of polar codes"
    - "how to construct polar codes"
    - "concatenated polar codes"

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)