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: "fractional repetition codes for repair in distributed storage systems"
  Abstract: We introduce a new class of exact Minimum-Bandwidth Regenerating (MBR) codes for distributed storage systems, characterized by a low-complexity uncoded repair process that can tolerate multiple node failures. These codes consist of the concatenation of two components: an outer MDS code followed by an inner repetition code. We refer to the inner code as a Fractional Repetition code since it consists of splitting the data of each node into several packets and storing multiple replicas of each on different nodes in the system. #R##N#Our model for repair is table-based, and thus, differs from the random access model adopted in the literature. We present constructions of Fractional Repetition codes based on regular graphs and Steiner systems for a large set of system parameters. The resulting codes are guaranteed to achieve the storage capacity for random access repair. The considered model motivates a new definition of capacity for distributed storage systems, that we call Fractional Repetition capacity. We provide upper bounds on this capacity while a precise expression remains an open problem.

Connected through hyperedge HE-1 (induced by source paper "numerically stable binary gradient coding"):
  with members:
    - "fundamental limits of approximate gradient coding"
    - "coded distributed computing performance limits and code designs"
    - "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"
    - "universally decodable matrices for distributed matrix vector multiplication"
    - "erasurehead distributed gradient descent without delays using approximate gradient coding"
    - "speeding up distributed machine learning using codes"

Connected through hyperedge HE-2 (induced by source paper "optimal fraction repetition codes for access balancing in distributed storage"):
  with members:
    - "access balancing in storage systems by labeling partial steiner systems"
    - "optimal fractional repetition codes based on graphs and designs"
    - "fractional repetition codes with flexible repair from combinatorial designs"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "repairable replication based storage systems using resolvable designs"
    - "explicit construction of optimal exact regenerating codes for distributed storage"

Connected through hyperedge HE-3 (induced by source paper "access balancing in storage systems by labeling partial steiner systems"):
  with members:
    - "optimal fractional repetition codes based on graphs and designs"
    - "optimal combinatorial batch codes based on block designs"

Connected through hyperedge HE-4 (induced by source paper "private information retrieval in graph based replication systems"):
  with members:
    - "private information retrieval from mds coded data in distributed storage systems"
    - "private computation of systematically encoded data with colluding servers"
    - "codes for graph erasures"
    - "private information retrieval from storage constrained databases coded caching meets pir"
    - "multi message private information retrieval capacity results and near optimal schemes"
    - "codes for erasures over directed graphs"
    - "pir array codes with optimal virtual server rate"
    - "multiround private information retrieval capacity and storage overhead"

Connected through hyperedge HE-5 (induced by source paper "code constructions for distributed storage with low repair bandwidth and low repair complexity"):
  with members:
    - "mds code constructions with small sub packetization and near optimal repair bandwidth"
    - "an explicit coupled layer construction of a high rate msr code with low sub packetization level small field size and all node repair"
    - "explicit constructions of optimal access mds codes with nearly optimal sub packetization"
    - "a family of erasure correcting codes with low repair bandwidth and low repair complexity"
    - "a framework of constructions of minimal storage regenerating codes with the optimal access update property"
    - "an alternate construction of an access optimal regenerating code with optimal sub packetization level"
    - "mdr codes a new class of raid 6 codes with optimal rebuilding and encoding"
    - "xoring elephants novel erasure codes for big data"

Connected through hyperedge HE-6 (induced by source paper "on universally good flower codes"):
  with members:
    - "on the duality of fractional repetition codes"
    - "on some universally good fractional repetition codes"
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "optimal fractional repetition codes based on graphs and designs"
    - "reconstruction and repair degree of fractional repetition codes"
    - "enumerating some fractional repetition codes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "repairable replication based storage systems using resolvable designs"

Connected through hyperedge HE-7 (induced by source paper "load balanced fractional repetition codes"):
  with members:
    - "nearly optimal constructions of pir and batch codes"
    - "fractional repetition and erasure batch codes"
    - "irregular fractional repetition code optimization for heterogeneous cloud storage"
    - "optimal fractional repetition codes based on graphs and designs"
    - "codes with locality for two erasures"
    - "batch codes through dense graphs without short cycles"
    - "fractional repetition codes with flexible repair from combinatorial designs"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"

Connected through hyperedge HE-8 (induced by source paper "locality and availability of array codes constructed from subspaces"):
  with members:
    - "nearly optimal constructions of pir and batch codes"
    - "lengthening and extending binary private information retrieval codes"
    - "binary shortened projective reed muller codes for coded private information retrieval"
    - "locality via partially lifted codes"
    - "pir array codes with optimal virtual server rate"
    - "bounds and constructions of codes with multiple localities"
    - "codes with unequal locality"
    - "on private information retrieval array 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)